Author Archives: Scot Fagerland

Coronavirus Primer, Part 4: Coronavirus and Society

COVID-19 is much more than a medical issue. The virus, and human response to the virus, have made 2020 feel like a time of war. 1

What is guiding us — the fear of contagion or the contagion of fear?

About This Primer

I am researching and writing this series to take a big-picture look at COVID-19.  I’m taking a step back from the daily news information overload and fact-checking the (even larger) load of misinformation.  I announced this project in June and invited questions from my friends. It is now a series of indefinite duration.  Part 1 covered the basics of viruses and coronaviruses.  Part 2 dealt with SARS-CoV-2 on the level of individual health.  Part 3 discussed the epidemiology.

In today’s installment, I take a turn from the biological to the social realm.  The pandemic is much more than a medical issue.  It has come to define the environment of 2020 in all aspects of our lives.  Part 4 is “Coronavirus and Society.”  I begin with the coronavirus recession.  I then discuss the psychology and politics of how we think, feel, and communicate about this pandemic.  What guides us – the fear of contagion or the contagion of fear?  Why do different segments of society have such divergent outlooks on this event?   

I. The Coronavirus Recession

II. National and Partisan Differences in Attitude

III. The Psychology of Uncertainty

IV. Conclusions

V. Citations

I. The Coronavirus Recession

COVID-19 as a social and economic crisis is arguably more momentous than as a medical crisis.  The only way to slow the contagion for now is to regulate travel and population density.  As you well know, this keeps employees from work, it slows down consumer spending, and it shutters factories – in short, it is an economic wrecking ball.  While the virus itself has harmed about 1% of 1% of us, our response to it has impacted us all.    

A recession is defined as a period of at least two consecutive quarters of economic contraction.  By that standard, the US and 18 other nations were already in recession by the 3rd quarter. 2 The forecast for the year is that the global economy will shrink by 4 – 5%, the deepest plunge since WWII.  This is the first recession to slow down the growth of developing nations.  Some economists predict that over 90% of all national economies will contract this year, a metric that makes this downturn even worse than the Great Depression. 3 The loss of jobs in the second quarter of 2020 alone was equivalent to almost 200 million full-time workers. 4 

When economists describe this recession, a recurring theme is that demand and supply are both down. 5 This double-whammy impact is felt most strongly in travel and inessential establishments like bars and massage parlors.  Not only are these businesses unable to provide their full range of services, but the customers have less discretionary money on hand.  This will make recovery difficult, as there will not be an excess of demand waiting to meet recovering supply or vice versa.   

Another significant effect is a transfer of economic activity from one sector to another.  While restaurant dining is down, food delivery is up; TV on demand has taken over the movie theater industry.  Online shopping has exploded.  Many of today’s hot sectors (like nursing and webcasting) are hiring vigorously.  However, it will take a while for employees to train and find jobs, and by then the short-term surge may have ended.

Some sectors are unequivocally depressed.  Oil prices have tanked as people have driven less and airlines have slashed flights.  This helps consumers but harms many of the poorest countries, which derive a large portion of their income from oil exports. 

In some ways, the coronavirus recession is a tipping point for existing crises.  There was already a major debt crisis in the 2010s.  Now, government spending is breaking records.  There have been numerous high-profile stimulus packages in the US and Europe.  Small governments that are not accustomed to such bailouts are strained to the limits and are borrowing heavily. 6 Lockdowns are also exacerbating famines that were already alarming last year. 7

The two faces of the coronavirus – the disease and the depression – have us between a rock and a hard place.  In the short term, we cannot ameliorate one without aggravating the other.  Concerns about public health and the economy are all legitimate, and it seems politically impossible to find a balance satisfactory to everyone. 

II. National And Partisan Differences In Attitude

An anonymous person on a forum asked,Why do conservatives downplay the pandemic compared to liberals?

A.  Conservative and Liberal Attitudes

B.  Political Parties and Leaders

C.  National Differences

A. Conservative and Liberal Attitudes

The tension between public health and the economy is ages old, and political parties were already positioned on opposite sides of the divide.  Conservatism might be described as an “economy first” philosophy.  Conservatives resist spending money or changing behavior for new or uncertain threats.  Liberal-minded thinkers are more receptive to accepting new problems and solutions, 8 and to paying for those solutions with government funds.  These positions have been consistent at least since the 18th century, when economists sounded alarms about overpopulation.  The same theme has played out with nutritional and medicinal advice, wildlife conservation, pollution, and climate change. 

There is an important commonality to these modern liberal concerns.  They are all “invisible” to the individual.  When it comes to cosmic questions, conservatives feel more comfortable with traditional sources like religion.  Otherwise, reality is conservatively defined by tangible direct personal experience.  The conservative part of our mind is apt to think, “I burn gasoline in my car every day.  My neighborhood is clean, and it snowed here last night.  You can’t tell me that fossil fuels cause pollution or climate change!”  It’s easy to conclude that warnings about fossil fuels are a fiction spun by someone with an agenda. 

The liberal part of our mind may have an easier time seeing, believing, or caring about aggregate effects.  However, liberal parties can take their concerns to extremes that are not clearly necessary.  Public health threats are often detected in their early phases.  We can’t really know the scope of the problem without predicting the future – and predictions often lead to worst-case-scenario anxiety.  Furthermore, aggregate solutions do not always require rapid, radical changes for all persons.   

The political divide is exaggerated by urban / rural differences.  Viral contagion, like many other societal hazards, is most rampant in densely populated cities.  Urban areas also happen to be more liberal in character than small towns and the countryside.  Since ruralites don’t face the same infectious risk as urbanites, they often feel that city-made precautions do not apply to them. 9

B. Political Parties and Leaders

Most people are probably not conscious of why each attitude is associated with a different political party, but it doesn’t matter why.  Once those associations are made, they become self-perpetuating.  Well before the pandemic, the Republican and Democratic parties of the United States had already become hyper-partisan to the point of feeling contemptuous and prejudiced toward each other.  Sociologists actually have a name for this state: affective polarization. 10 It has become more important to each party to defeat the other than to think in terms of a common interest.          

Political leaders and the party rank-and-file reinforce each other.  Politicians know and say what their constituents want to hear.  Their behavior clarifies the party standard, which crystallizes quickly throughout the party.  On the right, presidents such as Trump 11 and Bolsonaro 12 resist wearing masks, downplay the public health threat, and scoff at safety measures.  Trump has said that wearing a mask “would send the wrong message” to his voters by making it seem like he is preoccupied with health instead of the economy. 13 In turn, 84% of Republicans trust the president more than they trust scientists. 14

Political parties can co-exist peacefully even when they have different values.  They may self-segregate or irritate each other.  The differences become more salient when one party imposes its values on the other, or even when one perceives an imposition.  This year, generically speaking, conservatives feel that governments, corporations, and even judgmental neighbors are imposing “liberal” rules and restrictions upon them.  Liberals feel violated when conservatives invade their space without safety precautions.  In this quibble, the stakes are high.   

C. National Differences

Some political leaders feel embarrassed about natural disasters getting out of their control, so they deny the problem or shift blame.  The Chinese and US governments point the finger at each other, sometimes with completely unfounded accusations. 15 President Trump has alternately argued that his opponents are making a mountain out of a molehill 16 or, if it is a bad problem, it’s their fault. 17

The United States and western Europe, the homeland of the 18th century Enlightenment, are unique among the world in their esteem of individual liberty. 18 The rest of the world places higher value on being “protective of the collective” (to coin a phrase) even if it demands personal sacrifice.  As I discussed in Part 3, Asians have a much easier time accepting government recommendations, and they wear face masks in the highest proportions. 

Westerners, on the other extreme, feel threatened when the government tells them what to do, even if it is for the public good.  This sentiment increases toward the right.  Many conservatives deny that there is a public threat at all.  The words that they associate most often with face mask mandates and social lockdowns are not even entirely economical; they include “freedom” and “rights”. 

III. The Psychology of Uncertainty

Karen K. commented, “The speed at which guidance changes based on ‘emerging understanding’ of the virus is enough to make me trust no one.”

Mitzi M-H rhetorized, “How can we possibly know what it’s doing when the numbers are changing or inaccurate to start with?”

William B. rhetorized, “What’s going on with the WHO and the CDC?  Why are there so many disparate studies and conflicting information?”

A. Dealing with Unknowns

B. Whom can we Trust?

C. How Do we Feel?

D. How Should we Feel?

A. Dealing with Unknowns

When it comes to the coronavirus, it’s important to remember a key issue:

There are many unknowns.

This butts heads with a universal law of human nature:

We hate unknowns.

As 21st century web addicts, we demand answers, and we demand them now!  Unfortunately, clear answers are usually hard to find in the early stages of any sudden crisis.  We ask, “How many infections are harmless and undetected?  What causes more harm – the disease or the lockdowns?  Will immunity last forever?  When will vaccines be available?”  We expect textbook right-and-wrong answers.  Although many such questions are mathematically modeled, they usually have answers like, “We don’t know,” or “It depends.” 

These are emotionally unsatisfying answers, especially coming from experts, and doubly so for people who are not accustomed to nuance.  Unresolved anxiety then tempts us to conclude, “There is a simple answer, and someone knows, but they’re not telling me!” Then our imagination fills in the voids.  We are highly prone to believing the next “satisfying” answer that comes along. 1 19

It’s okay to accept that knowledge has boundaries, often blurry ones.  That’s especially true for a moment of panic like this year.  Even honest scientists, doctors, politicians, and public officials don’t have all the answers.  But their bounded answers are much better than conspiratorial guesswork.  Give doubt a chance.

B. Whom can we Trust?

Most Americans say that they trust major health agencies first 20 and that they are skeptical of their social media news feeds. 21 Are these intuitions justified?     

My standard is to consider the sources’ incentives and capabilities: 

Who is most willing and able to find the truth, the whole truth, and nothing but the truth?

By my values, research scientists must be at the top of this list, for at least two reasons.  First, they are the only people with direct first-hand knowledge and expertise in the medical issues.  Second, scientists are judged by how well they find truth, whether it’s beautiful or ugly. 

There is a broad spectrum of media bias and credibility.  I strongly recommend sites such as All Sides and Media Bias / Fact Check , which rank news sources on several criteria.  Still, news outlets produce content for mass consumption, which requires them to simplify and / or sensationalize information.  In an event like this pandemic, most news channels can only present a surface-level account – but it’s an essential first source.   

I do not turn to politics for answers.  This goes somewhat for office holders, but especially for party activists and armchair politicians.  Partisans get emotionally attached to their parties’ preconceived notions.  They then devote most of their time and energy to trash-talking each other and defending themselves.  Truth takes a back seat to “who’s right” or, even more trivially, “who’s righteous”. 

Social media rumors and word of mouth place lowest in my trust hierarchy.  There are large but highly vocal segments of the population that lack the capacity or the incentive to manage voluminous, nuanced, complex information.  Office holders, in turn, must pander to those folks for re-election. 

Unelected government agencies in free countries are generally more trustworthy, as they are ideally sheltered from the partisan winds of emotionality.  Agencies also have money for effective scientific and statistical research.  Unfortunately, there is mounting evidence that President Trump has politicized US agencies like the FDA 22 , CDC 23 , and HHS 24 .  Federal agencies have sent mixed signals as they have vacillated between public health advice and the president’s preferred messaging. 25

C. How Do We Feel?

“People are tired of COVID.  People are saying, ‘Whatever, just leave us alone.‘ ” …

You turn on CNN, that’s all they cover. ‘COVID, COVID, pandemic’ …

People aren’t buying it, CNN, you dumb bastards.”

President Trump, 10/19/20 26

President Trump is describing crisis fatigue, aka chronic stress response.  Whether we are stressed out about the virus itself, the economic impact, impositions on our lifestyle, or simply the unending arguments, most of us have felt stressed all year.  Long-term stress is not natural, and it takes a toll on physical and emotional health.  Nine out of ten Americans reported feeling emotional distress due to the pandemic, and that was already in May. 27

While a crisis can help unite people against a common enemy, in the long term it can aggravate political differences in addressing the problem.  Other effects of chronic stress response include negative emotions and reckless behavior. 28 Substance abuse, crime, and suicide are running high in 2020. 29

Experts advise that knowledge is empowering to cope with stress.  It is easier to confront facts than fears and rumors.  It is also important to be aware of our own feelings.  Only by identifying the sources and nature of our emotions can we ever hope to address them.  Finally, look for solutions when you are in your best state.  Let your “adult self” make your choices, not your “overwhelmed self” or your “survival self”. 30

Historians compare this pandemic to a depression or even a war that has potential to leave lasting changes in society.  We know that billions of people have lived through such crises before – plagues, wars, tyrannies, and more.  Most of us thought that we wouldn’t see such a catastrophe in our own lifetimes, but here we are.  The classic stages of grief are denial, anger, bargaining, depression, and acceptance.  History inspires us by proving that people can get through any tragedy when they learn to accept their new world.     

D. How Should We Feel?

“Nobody panics when things go ‘according to plan’ even if the plan is horrifying! 

Upset the established order, and everything becomes chaos.”

— The Joker, as written by Jonathan and Christopher Nolan, “Dark Knight” (2008)

In the politicized public discourse about coronavirus, one of the major through-lines has been the question, “How serious is this?”  Should we feel afraid of the virus?  Or is it no big deal?  This deceptively simple question is difficult to answer even without the political complications. 

One challenge is that we have to think as individuals and as a society at the same time.  For you, as just one person, chances are slim (so far) that you’ll catch coronavirus, and slimmer still that it will make you seriously ill.  But if we multiplied those small probabilities by the whole human population, we’d end up with tens of millions of preventable deaths.  It comes down to a question of what you care about and what “we” care about. 

Many people illustrate their perspectives by comparing the coronavirus pandemic to other causes of death.  Other respiratory tract infections are a natural comparison.  Diseases like tuberculosis, pneumonia, influenza, and COPD prematurely kill millions of people every year. 31 Why haven’t we been on red alert about them for decades?  This is probably the hardest question I’ve encountered in my research.  I posed this question to my Facebook friends early this year, and I still haven’t found a satisfactory answer. The only explanation I can conjure is the Joker’s principle, a psychological irrationality.  Those diseases have reached equilibrium; they are part of the plan.  They are known background noise, and it is the unknown that we fear.  We don’t know how far or fast coronavirus will spread.  Other dangers that alarm us and boil over in the streets, like terrorism or errant police brutality, kill miniscule numbers compared to any infectious disease.  Our emotions are clearly not linked to the numbers. 

When math nerds like me talk about uncertain events, we describe them with at least three components:  Probability, costs, and benefits.  You have to consider all three to arrive at the most rational way to quantify an event, its “expected value”:

E = P(BC)

In a potentially dangerous situation, sometimes our mind exaggerates the probability P (like plane crashes).  Sometimes we recklessly ignore a high cost or probability because we enjoy the benefit (like drugs).  In the coronavirus situation, some people fixate on probabilities while others focus on the cost of death.  This is why both sides can argue endlessly and both be partly right.  A nuanced understanding must account for the whole formula.

In order to transcend irrational, emotional judgments, most regulatory agencies have adopted numerical limits to acceptable risks.  The value of “one in a million” has become a widely accepted standard. 32 That is, if the probability of death is less than one in a million, a government will usually consider it unnecessary to commit further resources to controlling the risk.  In a world of 8 billion people, this standard would set the acceptable threshold at 8,000 preventable deaths. We reached that point in March, less than a week after COVID-19 was recognized as a pandemic.  

The premise that “coronavirus is just like the flu” is pretty accurate in terms of death toll so far.  It’s the resulting conclusion that’s backward.  This comparison does not demonstrate that the coronavirus is innocuous, but that influenza, like COVID-19, is vastly unacceptable.     

IV. Conclusions

I am finishing this essay in the first week of November 2020, right in the middle of the Biden / Trump presidential election.  I can’t imagine a more apt background.  The coronavirus pandemic has loomed large in this election, both as an issue and as the environment in which we vote.  Each party has a completely different vision of what the problems are and how to address them.  Where Democrats see a serious public health threat, Republicans are not as concerned because it has not affected most of their personal lives.  So far, preventive responses have been much more disruptive than the disease itself.  Then again, it’s impossible to know how much worse the pandemic would have been without such measures. 

Our perception of this pandemic is informed by politics and psychology as much as by facts.  In complex controversies, one side rarely has all the answers.  It’s not a matter of right or wrong but of emotional resonance.  Different groups of people have different cares and concerns.  It’s important to realize this, not only to manage your own thoughts but also to vet information and to understand your neighbors.       

My next article will discuss solutions and a path forward. 

V. Citations

                

  1. Image by Elchinator / CC BY-SA (https://creativecommons.org/licenses/by-sa/4.0), https://pixabay.com/illustrations/recession-economic-crisis-economy-5124813/ (accessed and saved 11/04/20).
  2. Staff writers, “Recession watch: which nations’ GDP is still going down?” The Guardian, https://www.theguardian.com/news/datablog/2009/aug/13/global-economy-globalrecession (updated regularly; accessed and data saved 8/29/20).
  3. M. Ayhan Kose et al., Global Economic Prospects, World Bank (June, 2020), https://www.worldbank.org/en/publication/global-economic-prospects (accessed, saved, and archived 8/28/20).
  4. Staff writers, “COVID-19 and the world of work”, International Labour Organization (2ed, 4/07/2020), https://www.ilo.org/wcmsp5/groups/public/—dgreports/—dcomm/documents/briefingnote/wcms_740877.pdf (accessed, saved, and archived 8/29/20).
  5. See e.g. Peter S. Goodman, “Why the Global Recession Could Last a Long Time”, New York Times (4/01/2020), https://www.nytimes.com/2020/04/01/business/economy/coronavirus-recession.html (accessed, saved, and archived 8/29/20).
  6. Fred Imbert, “Half of the world has asked the IMF for a bailout, chief says”, CNBC (4/15/2020), https://www.cnbc.com/2020/04/15/half-of-the-world-has-asked-the-imf-for-a-bailout-chief-says.html (accessed, saved, and archived 9/11/20).
  7. Staff writers, 2020 – Global Report on Food Crises, UN World Food Programme (4/20/2020), https://www.wfp.org/publications/2020-global-report-food-crises (accessed 9/11/20).
  8. See e.g. Staff writers, “The Politics of Climate”, Pew Research Center (10/04/2016), https://www.pewresearch.org/science/2016/10/04/the-politics-of-climate/ (accessed, saved, and archived 9/23/20).
  9. Sara Burnett and Brian Slodysko, “Pro-Trump protesters push back on stay-at-home orders”, Associated Press (4/17/2020), https://apnews.com/ea4c17f541c7c63fac52941a6f43b885 (accessed, saved, and archived 9/23/20).
  10. Shanto Iyengar et al., “The Origins and Consequences of Affective Polarization in the United States”, Annual Review of Political Science 22:129-146 (May, 2019), https://www.annualreviews.org/doi/full/10.1146/annurev-polisci-051117-073034 (accessed and saved 9/28/20).
  11. Will Steakin and Ben Gittleson, “Trump heads into flu season amid pandemic mocking masks, holding packed campaign rallies”, ABC News (9/11/2020), https://abcnews.go.com/Politics/trump-heads-flu-season-amid-pandemic-mocking-masks/story?id=72950584 (accessed, saved, and archived 9/23/20).
  12. Tom Phillips, “Brazil: Bolsonaro reportedly uses homophobic slur to mock masks”, The Guardian (7/08/2020), https://www.theguardian.com/world/2020/jul/08/bolsonaro-masks-slur-brazil-coronavirus (accessed, saved, and archived 9/23/20).
  13. Will Weissert and Jonathan Lemire, “Face masks make a political statement in era of coronavirus”, Associated Press (5/07/2020),  https://apnews.com/7dce310db6e85b31d735e81d0af6769c (accessed, saved, and archived 9/23/20).
  14. Laura Wronski, “Axios | SurveyMonkey Poll: coronavirus and trust”, Axios (March, 2020), https://www.surveymonkey.com/curiosity/axios-coronavirus-trust/ (accessed, saved, and archived 9/23/20).
  15. Conor Finnegan, “False claims about sources of coronavirus cause spat between the US, China”, ABC News (3/13/2020), https://abcnews.go.com/Politics/false-claims-sources-coronavirus-spat-us-china/story?id=69580990 (accessed, saved, and archived 10/12/20).
  16. Brett Samuels, “Trump hits Democrats over coronavirus criticism: ‘This is their new hoax’”, The Hill (2/28/2020), https://thehill.com/homenews/campaign/485245-trump-hits-democrats-over-coronavirus-criticism-this-is-their-new-hoax (accessed, saved, and archived 10/12/20).
  17. John Fritze and David Jackson, “Trump blames ‘blue states’ for increasing nation’s coronavirus death rates, ignores high rates in red states”, USA Today (9/17/2020), https://www.usatoday.com/story/news/politics/elections/2020/09/16/trump-blames-blue-states-covid-19-death-rates/5819120002/ (accessed, saved, and archived 10/12/20).
  18. Jonathan Haidt, The Righteous Mind: Why Good People are Divided by Politics and Religion, Pantheon (2012), Kindle edition around location 418
  19. See e.g. V. Swami et al., “Putting the stress on conspiracy theories: Examining associations between psychological stress, anxiety, and belief in conspiracy theories”, Personality and Individual Differences vol. 99, pp. 72-76 (Sep., 2016), https://www.sciencedirect.com/science/article/abs/pii/S0191886916303440?via%3Dihub (accessed and saved 9/12/20).
  20. Wronski, op. cit.
  21. Mark Jurkowitz and Amy Mitchell, “An oasis of bipartisanship: Republicans and Democrats distrust social media sites for political and election news”, Pew Research Center (1/29/2020), https://www.journalism.org/2020/01/29/an-oasis-of-bipartisanship-republicans-and-democrats-distrust-social-media-sites-for-political-and-election-news/ (accessed, saved, and archived 9/29/20).
  22. See e.g. The Editors, “Dying in a Leadership Vacuum”, The New England Journal of Medicine 383(15):1479-80 (10/08/2020), https://www.nejm.org/doi/full/10.1056/NEJMe2029812 (accessed and saved 10/10/20).
  23. Brett Murphy and Letitia Stein, “’It is a Slaughter’: Public health champion asks CDC director to expose White House, orchestrate his own firing”, USA Today (10/06/2020), https://www.usatoday.com/story/news/investigations/2020/10/06/expert-cdcs-redfield-should-expose-trump-covid-failures-leave-post/5899724002/ (accessed and saved 10/12/20).  This article includes a link to the letter that former CDC director Foege wrote to current director Redfield.
  24. Staff writers, “Political pressure Inside HHS Policy Shop To Tailor Facts To Fit Trump’s Message Unprecedented, Staffers Say,” Kaiser Family Foundation (7/30/2018), https://khn.org/morning-breakout/political-pressure-inside-hhs-policy-shop-to-tailor-facts-to-fit-trumps-message-unprecedented-staffers-say/ (accessed, saved, and archived 10/12/20); note that this article well predates the pandemic.
  25. Mike Stobbe, “CDC drops controversial testing advice that caused backlash”, Associated Press (9/18/2020), https://apnews.com/article/virus-outbreak-pandemics-public-health-22e7ac15e8d622b12bf784295e4b5266 (accessed, saved, and archived 10/12/20).
  26. Brett Samuels, “Trump calls CNN ‘Dumb bastards’ for covering coronavirus”, The Hill (10/19/2020), https://thehill.com/homenews/administration/521741-trump-calls-cnn-dumb-bastards-for-covering-coronavirus (accessed, saved, and archived 10/22/20).
  27. Olafur S. Palsson, Sarah Ballou, and Sarah Gray, “The U.S. National Pandemic Emotional Impact Report”, UNC and Harvard Schools of Medicine (6/29/2020), http://pandemicimpactreport.com/ (accessed, saved, and archived 11/03/20).
  28. Tony Schwartz and Emily Pines, “Coping with Fatigue, Fear, and Panic During a Crisis”, Harvard Business Review (3/23/2020), https://hbr.org/2020/03/coping-with-fatigue-fear-and-panic-during-a-crisis (accessed, saved, and archived 11/04/20).
  29. Jayne O’Donnell, “’Deaths of despair’: Coronavirus pandemic could push suicide, drug deaths as high as 150K, study says”, USA Today (5/08/20), https://www.usatoday.com/story/news/health/2020/05/08/coronavirus-pandemic-boosts-suicide-alcohol-drug-death-predictions/3081706001/ (accessed, saved, and archived 11/04/20).
  30. Schwartz and Pines, op. cit.
  31. Staff writers, Global Impact of Respiratory Disease, 2ed, Forum of International Respiratory Societies (2017), https://www.who.int/gard/publications/The_Global_Impact_of_Respiratory_Disease.pdf (accessed 10/22/20).
  32. Paul R. Hunter and Lorna Fewtrell, “Ch. 10: Acceptable risk”, Water Quality: Guidelines, Standards, and Health, WHO (London, 2001), https://www.who.int/water_sanitation_health/dwq/iwachap10.pdf?ua=1 (accessed and saved 10/09/20).

Coronavirus Primer, Part 3: Epidemiology

“Pandemic”, the board game, was inspired by SARS. Now life imitates the art that imitated life. 1

About This Primer

I am researching and writing this series to take a big-picture look at COVID-19.  I’m taking a step back from the daily news information overload and fact-checking the (even larger) load of misinformation.  I announced this project in June and invited questions from my friends.  Part 1 covered the basics of viruses and coronaviruses.  Part 2 dealt with SARS-CoV-2 on the level of individual health.  Today’s article will be followed by Part 4, “Coronavirus and Society”. 

In today’s installment, I start out with a discussion of COVID-19 data: how it is collected and what it can and cannot tell us.  In section II, I discuss efforts to pin numbers on the virus to summarize this outbreak or compare it to others.  Section III recaps the history of this pandemic and human responses to it in the first several months.

I. Data

II. Viral Vitals

III. Medical Impact And Response

IV. Citations

I. Data

A. Where the Data Comes from

B. Sources of Uncertainty

A. Where the Data Comes from

As you can imagine, no single agency could count every case, illness, or death.  It’s a grassroots reporting effort.  When you get your nose swabbed, your sample is sent to a lab for processing.  Hospitals have labs as well as doctors who make personal diagnoses.  Labs and hospitals report to local governments, which report to state or national governments.  In the United States, the CDC issues reporting guidelines about who must report data, what they must report, and to whom. 2

Finally, national totals are reported to the World Health Organization for a global count.  The most commonly reported vital statistics are the daily SARS-CoV-2-positive test results (“cases”), hospitalizations, hospitalizations requiring intensive care, and deaths.  Private websites such as Johns Hopkins gather the data published by local and national governments.  The data in most media articles will be drawn from a major consolidated database such as the COVID Tracking Project. 

I have always felt partial to Worldometer.  This website honed its census skills estimating real-time populations. 2 3 Worldometer reports daily coronavirus figures for all US states and many counties, each nation, and the world.  It explains its methodology to account for a lag in the reporting system. 4 Local counts are the most complete and current, so Worldometer relies on local data to supplement national information as much as possible.    

B. Sources of Uncertainty

We could not possibly expect a decentralized, worldwide tabulation in a time of crisis to be 100% perfect.  Some tests are more accurate than others.  Cases might get lost or duplicated in the reporting system.  The cases and deaths are usually categorized as “probable” or “confirmed.” 2 Changes or differences in these definitions can lead to disagreements between databases.       

The greatest limitation of official data is that it only applies to reported cases.  Since COVID-19 is mild for most people, and since testing hasn’t kept up with viral contagion, many infections will never enter the reporting system.  Therefore, official records will under-report infections and over-report their death rate.  This is a big topic that will be detailed further below.    

Meanwhile, the death rate tends to be under-reported when we are tracking recent infections.  For cases that are less than a month old, the data will show that they are non-fatal just because these patients haven’t died yet.  While the number of infections continues to rise, a high percentage of cases are new and therefore unresolved.  The most accurate death rates will come from the data of months past.

The point is not to conclude that official figures are useless.  With numerous factors that both overestimate and underestimate reality, we can regard the reported numbers as middle-ground ballpark figures that are as precise as reasonably possible.  Even if absolute figures are murky, they can still be useful for drawing comparisons across times and places.  However, the most accurate information will not be available until the pandemic is over. 

You may see references to an “excess deaths” statistic, which is appealing in its simplicity.  The thought is that if we just count all deaths in 2020 and then subtract the baseline number of deaths in 2019, we will get the magic number of coronavirus-caused deaths.  The excess death measurement was useful at the beginning of the outbreak before people had time to respond to it.  However, this year’s social distancing and recession have affected death rates in so many other ways, such as the impact on accidents, medical practice, and other infectious diseases, that they drown out the impact of COVID-19 deaths.  Excess deaths are no longer informative.

II. Viral Vitals

Reid S. asked, “Please determine the death rate!”

We are all anxious for clear-cut answers about this bug’s vital statistics.  Unfortunately, if you want honest answers, you’re going to get complicated answers.  Virtually every measure of a virus is impacted by human activity.  The numbers vary greatly across time, place, and circumstance.

A. Reproduction Numbers

B. Fatality Ratios

C. Case-Infection Ratios

A. Reproduction Numbers

Some diseases are more contagious than others.  The reproduction number, R, counts how many healthy people an average sick person will infect.  The most disease-specific measure of R occurs at the very onset before people have time to respond to it.  That value is called R0.  The goal of preventive programs is to subdue R below 1 so that infections decrease.  While R is above 1, even slightly, infections will continue to increase exponentially. 

SARS-CoV-2 studies from Europe 5 and China 6 estimate R0 in the range of 2 to 9, most likely 4 to 6.  This is much higher than seasonal flu, a little higher than SARS, and lower than chickenpox or measles.  As of early August, R is estimated at 1.1 globally.  Roughly half of the world’s countries are still above 1.  The US has just reached R = 1, suggesting that this country is nearing its peak number of daily new infections. 7

B. Fatality Ratios

Brad B. asked about the impact of senior centers on death rates. 

Of all reported cases of COVID-19 that have had time to run their course, 5% of them have been fatal as of mid-August. 8 The confirmed case-fatality ratio ranges from 0% in Vietnam (yep) to 15% in the UK!  Singapore and other small countries like Qatar and the U.A.E. have young populations because they have large immigrant work forces.  They are also rich countries with good hospital facilities.  Despite major outbreaks, these countries have kept their death rates below 1%.  The UK is a standout with its 15% case-fatality ratio. 9 The high British rate is largely due to slow and feeble government response to testing, tracing, and imposing public health standards. 10 

By far the two most vulnerable populations are smokers and the elderly.  Nursing homes are ground zero in this pandemic.  With 1% of the US population, nursing homes report almost 25% of COVID-19 cases and 40% of its deaths. 11 Smokers are 14 times as likely as non-smokers to develop critical symptoms. 12 The death rate is higher in men than women.  This pattern probably reflects the fact that most smokers are men.

C. Case-Infection Ratios

Brad B. asked, “What is the estimate of the number of asymptomatic and mild cases?”

Mitzi M-H. asked about the discrepancy between virus swabs and antibody tests

“Silent spreaders” are a big part of the COVID-19 story.  The disease is contagious during an incubation period before symptoms appear.  Many people carry the virus without ever knowing it.  There is a great deal of interest in determining the “true” number of infections, for medical and political reasons alike. 

The best way to detect whether a person has ever been exposed to a virus is with an antibody test.  Although some antibody tests have had highly publicized flaws, there have been more reliable trials, and they yield a similar result.  In April, lab analysis of randomly drawn blood samples estimated that there were about ten times as many infections as confirmed cases. 13 This ratio is variable too, as it depends on the quality and especially the quantity of swab tests.

Meanwhile, mathematical epidemiologists are working with the most reliable data (death toll and the best-measured infection-fatality ratios) and are running SIR algorithms to estimate the true number of infections.  One sophisticated mathematical model in May estimated that infections are about four times more prevalent than reported cases worldwide, with a possible range of 2 – 12. 14

Many people argue that coronavirus is “less deadly than we thought” because of all the previously unreported infections that did not develop into serious cases.  That is true in the sense of a death rate, although it obviously does not reduce the sheer number of deaths.  In fact, the number of COVID-19 deaths is under-reported too, by a factor of up to 2. 15

Put it all together, and what do you get?  I’ve done the math for you; you’re welcome.  For a random person infected with the virus today, the probability of death is probably closer to 1% than 5%.  Whatever that means for your peace of mind is up to you!

The good news is balanced by bad news anyway.  The large pool of untested infections means that for every case that is followed up with quarantine and contact tracing, there are about ten others who go undetected.  This highlights the need for much, much more testing, and not just for sick people. 

By the way, even accounting for the unreported infections, still only about 1% of the human population has the antibody.  We’d need a prevalence of about 80% for herd immunity. 16 Letting the disease play itself out to herd immunity would therefore multiply the death count by 80, to about 50,000,000.  Needless to say, that’s an unacceptable solution. 

III. Medical Impact And Response

A. Devastation by Concentrated Impact

B. Effectiveness of Social Measures

C. What to Look for Next

A. Devastation by Concentrated Impact

Like many social ills – poverty, crime, overpopulation – the impact of COVID-19 is not distributed evenly throughout the world but is spotty.  It has devastating impact on a few localities like dense cities and senior centers.  In those localities, it hits the weakest links in the medical supplies and services chain. 

When WHO declared COVID-19 a global health emergency on January 30, the disease had killed only 200 people.  If those deaths had been spread around the world, nobody would have noticed.  They would have been a drop in the bucket of 5,000,000 normal deaths that month.  But those deaths, as well as 10,000 non-fatal cases, were concentrated around one city.  Wuhan probably could have handled them if they had been spread out over a year.  It was the concentrated impact of 10,000 cases in one city in one month that was so exceptionally stressful.  Wuhan hospitals were so short on beds and ventilators that the government erected a new hospital in two weeks.  Similar stories of overwhelmed resources occurred in Milan, Tehran, and New York City by early March.  Ventilators were the scarcest need.  Not every hospital has them; some countries have only a few. 17 By March, demand was already ten times the global supply. 18 Making new ventilators requires a massive global supply chain; it’s not easy to crank them out. 19 Medical personnel and ICU beds are other resources that got exhausted quickly.    

B. Effectiveness of Social Measures

Brad B. asked if there has been a change in the hospitalization rate.

The early urban hotspots were warnings.  If left to spread out of control, the virus had the potential to strike every city like that eventually.  WHO upgraded the disease to a pandemic on March 11, and governments around the world took measures shortly afterward.  This led to some enlightening experimentation.  Two countries that had exemplary success curbing COVID-19, South Korea and Iceland, did so by immediately implementing rigorous programs of testing, contact tracing, and quarantining.  Iceland finished assembling its coronavirus task force literally hours before the country’s first reported case. 20 Meanwhile, China and Italy each put 60,000,000 people on lockdown.  Italy’s outbreak has been on a steep decline since late March.  China enforced its lockdown more strictly, and its wave was effectively over before Italy’s began.  

Facemasks and social distancing have been effective at slowing the spread everywhere and bringing it under control in half the world.  Masks reduce transmission by up to 50% when used widely. 21 The countries that see masks worn most faithfully, in Asia, have low transmission rates. 22 Without any mitigating behavior, this virus could have infected 7,000,000,000 people and killed 40,000,000 this year. 23 Good job, us!

The number of daily deaths took a significant dip in April despite rising case counts. 24  This can’t be explained away with rates or miscounts, so it seems to reflect genuine improvement in public health.  Maybe defenses got tightened up at nursing homes or the most vulnerable people got more serious about staying home.  Perhaps doctors learned from experience, or hospitalizations got spread out more evenly across geography and time. 

Global data showing the impact of human activity after March 11, when WHO declared COVID-19 a pandemic.  Note how the “Daily New Cases” curve slows down abruptly around March 30, and “Daily Deaths” plummet around April 16.

The biggest problem this year has been lack of preparedness, coordination, and resolve.  That is showcased by the approaches of the United States, United Kingdom, and Sweden.  These are countries that like to flout government orders, 25 and their governments were slow to acceptance anyway.  Now, the US has the world’s largest case load, the UK has the highest death rate, and Sweden has one of the highest reproduction numbers. 

However, very few countries were as prepared as they should have been.  A 2019 study ranked countries on their pandemic preparedness.  Its report card gave a global average of 40%. 26 “Few countries pay for action plans out of national budgets,” the report found.  That explains why everybody had to scramble to legislate aid packages this year.

C. What to Look for Next

1. Africa

2. Reopening

1. Africa

Africa’s fate is one of the greatest unresolved questions.  Although many African nations are woefully unprepared, so far, numbers are low across the continent.  This is correlated to low testing, but the case-fatality ratio is low too.  Africa is the youngest continent, so it could be that its population is truly resilient. 27 Cases are just starting to blow up in a few hotspots like Congo, Djibouti, and South Africa.

2. Reopening

Lockdowns cannot continue forever.  However, when full mobility resumes, this pandemic will start all over again, a “second wave”.  The only way to get the outbreak under control without a vaccine is to continue lockdowns until new cases are reduced to a trickle, then have a testing / tracing / isolation system ready at the starting line when the economy reopens. 28

We face challenges this fall as schools resume, pneumonia season begins, and sectors of the economy simply must reopen out of necessity.  The hope is that we’ll be more prepared this time.  Let’s hear it for second chances.  

Continue to Coronavirus Primer Part 4: Coronavirus and Society    

IV. Citations

  1. Game photo by Padaguan / CC BY-SA (https://creativecommons.org/licenses/by-sa/4.0), https://commons.wikimedia.org/wiki/File:Pandemic_board_game.jpg (accessed and saved 8/17/20).
  2. Staff writer, “How to Report COVID-19 Laboratory Data”, US CDC (2020), https://www.cdc.gov/coronavirus/2019-ncov/lab/reporting-lab-data.html (accessed and saved 7/27/20).
  3. https://www.worldometers.info/watch/world-population/
  4. Staff writer, “Worldometer COVID-19 Data”, Worldometer (2020), https://www.worldometers.info/coronavirus/about/ (accessed, saved, and archived 7/27/20).
  5. Kevin Linka, Mathias Peirlinck, and Ellen Kuhl, “The reproduction number of COVID-19 and its correlation with public health interventions”, medRxiv (submitted 5/01/2020, peer review in progress), https://www.medrxiv.org/content/10.1101/2020.05.01.20088047v3 (accessed and saved 8/03/20).
  6. Steven Sanche et al., “High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2”, Emerging Infectious Diseases 26(7):1470-1477 (Jul., 2020), https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323562/ (accessed and saved 8/04/20).
  7. Garegin Papoian et al., “The Covid-19 Accelerometer Dashboard:  World Statistics of Rt (Effective Reproduction Number) (continuously updated), https://covid19-r0.com/ (accessed 8/04/20).
  8. Global Worldometer data as of 8/16/20:  Out of 15.6 million closed cases to date, 777,000 have resulted in death.  
  9. Staff writer, “Mortality Analyses”, Johns Hopkins University (continuously updated), https://coronavirus.jhu.edu/data/mortality (accessed and saved 8/04/20).
  10. Jasmina Panovska-Griffiths, “Coronavirus: five reasons why the UK death toll is so high”, The Conversation (6/10/2020), https://theconversation.com/coronavirus-five-reasons-why-the-uk-death-toll-is-so-high-140005 (accessed and saved 8/03/20).
  11. Jon Kamp and Anna Wilde Mathews, “As U.S. Nursing-Home Deaths Reach 50,000, States Ease Lockdowns”, Wall Street Journal (6/16/2020), https://www.wsj.com/articles/coronavirus-deaths-in-u-s-nursing-long-term-care-facilities-top-50-000-11592306919 (paywall).  Summarized e.g. by Stephanie Soucheray, “Nursing homes might account for 40% of US COVID-19 deaths”, Center for Infectious Disease Research and Policy (6/16/2020),  at https://www.cidrap.umn.edu/news-perspective/2020/06/nursing-homes-might-account-40-us-covid-19-deaths (accessed and saved 8/05/20).
  12. Wei Liu et al., “Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease”, Chinese Medical Journal (5/05/2020), https://journals.lww.com/cmj/Fulltext/2020/05050/Analysis_of_factors_associated_with_disease.5.aspx (accessed and saved 8/04/20).
  13. See e.g. staff writer, “Commercial Laboratory Seroprevalence Survey Data”, US CDC (last updated 7/21/2020), https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/commercial-lab-surveys.html (accessed 8/05/20).  A survey of samples from ten US sites found actual infections mostly 6 – 12 times more prevalent than previously reported cases, with an outlier at 24 times. 
  14. Christina Bohk-Ewald, Christian Dudel, and Mikko Myrskyla, “A demographic scaling model for estimating the total number of COVID-19 infections”, medRxiv (5/26/2020), https://www.medrxiv.org/content/10.1101/2020.04.23.20077719v3 (accessed and saved 7/28/20).
  15. Bohk-Ewald, op. cit.
  16. Linka op. cit. at 8 (given more precisely as 78%).
  17. Emma Smith, “These countries have only a Handful of ventilators”, Devex (4/09/2020), https://www.devex.com/news/these-countries-have-only-a-handful-of-ventilators-96970 (accessed and saved 8/05/20).
  18. Jinshan Hong and Dong Lyu, “World Ventilator Demand Now 10 Times What’s Available, Says Maker”, Bloomberg (3/25/2020), https://www.bloomberg.com/news/articles/2020-03-25/world-ventilator-demand-now-10-fold-what-s-available-says-maker (accessed and saved 8/05/20).
  19. Torbjorn Netland, “A better answer to the ventilator shortage as the pandemic rages on”, World Economic Forum (4/03/2020), https://www.weforum.org/agenda/2020/04/covid-19-ventilator-shortage-manufacturing-solution/ (accessed and saved 8/05/20).
  20. Elizabeth Kolbert, “How Iceland Beat the Coronavirus”, The New Yorker (June 8 – 15, 2020), https://www.newyorker.com/magazine/2020/06/08/how-iceland-beat-the-coronavirus (accessed and saved 7/19/20).
  21. Staff writer, “IHME models show second wave of COVID-19 beginning September 15 in US”, Institute for Health Metrics and Evaluation (6/11/2020), http://www.healthdata.org/news-release/ihme-models-show-second-wave-covid-19-beginning-september-15-us (accessed and saved 8/05/20).
  22. Katharina Buchholz, “Asians Still Most Likely to Wear Face Masks Due to COVID-19”, Statista (4/21/2020), https://www.statista.com/chart/21452/share-of-people-wearing-face-masks-per-country-covid-19/ (accessed, saved, and archived 8/17/20).
  23. Patrick G.T. Walker et al., “Report 12 – The global impact of COVID-19 and strategies for mitigation and suppression”, Imperial College London (3/26/2020), https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/covid-19/report-12-global-impact-covid-19/ (accessed and saved 8/05/20).
  24. Graphs from Worldometer data, https://www.worldometers.info/coronavirus/ (accessed 8/06/20).
  25. Vicky McKeever, “Most Brits just won’t wear face masks – here’s why”, CNBC (7/15/2020), https://www.cnbc.com/2020/07/15/most-brits-just-wont-wear-face-masks-heres-why.html (accessed, saved, and archived 8/17/20).
  26. Michelle Nalabandian et al., Global Health Security Index, Nuclear Threat Initiative (Oct., 2019), https://www.ghsindex.org/ (accessed 8/05/20).
  27. Uwagbale Edward-Ekpu, “The pandemic’s spread across Africa is being tempered by a young population, for now”, Quartz Africa (7/09/2020), https://qz.com/africa/1878885/africas-pandemics-spread-is-being-slowed-by-young-population/ (accessed and saved 8/05/20).
  28. Sanche, op. cit. at 1470.

Coronavirus Primer, Part 2: SARS-CoV-2, COVID-19, and the Individual

For most of us, 2020 is a year of masks, gloves, temperature checks, and social distancing. 1

I began this series with background information, zooming in from the domain of viruses to  the genus of coronaviruses.  Today’s post specifically introduces this year’s novel coronavirus.  We’ll cover the topics of the virus’s origins and evolution, its effects, person-to-person transmission, and possibilities for a cure.  Part 3 (next month) will discuss the effects of this pandemic on populations and society.    

I. Biology

II. Medicine

III. Citations

I. Biology

A. Origins

B. Evolution

A. Origins

The current pandemic is the third wave of deadly human coronavirus infections.  The new virus is officially called SARS-CoV-2, and the disease that it causes is COVID-19.  COVID simply stands for COrona VIrus Disease.

This year’s virus is so closely related to the 2002 SARS virus that virologists classify it as a new strain of the same species. 2 SARS-CoV-2 is not a descendant of SARS-CoV but a “cousin” that shares a recent common ancestor.  Though conspiracy theorists will believe what they will, genetic evidence shows with high confidence that the SARS-CoV-2 virus evolved naturally and was not engineered in a lab. 3 

The path of transmission, from bat to intermediate host to human, is uncertain.  The pangolin or “spiky anteater” was an early prime suspect because pangolins carry a coronavirus similar to SARS-CoV-2.  The current human and pangolin coronaviruses turned out to be, again, only cousins. 4 Nevertheless, they are similar enough to raise concerns about pangolins as potential carriers for future outbreaks, especially since the pangolin is a heavily trafficked wild animal.

The earliest confirmed human case of SARS-CoV-2 was reported on November 17 in Hubei Province, China (where Wuhan is located). 5 Interestingly, traces of the virus have been found in samples collected from Europe in December.  One was in Italian wastewater 6 and another in the bodily fluids of a French man who was tested for pneumonia. 7

The first mass outbreak came in late December.  It was traced to the Huanan Seafood Wholesale Market in Wuhan, China.  Because the market sells exotic animals, and because similar markets had been implicated in zoonotic transmission of SARS, people quickly jumped to the conclusion that Huanan Market was the site where the virus made its first jump into humans.  However, we now know that some early cases were not associated with Huanan Market 8 and that none of the animals at that market were infected. 9 It seems that a person who already had the virus brought it to the market, and it spread simply because of the crowded conditions.  The spike in Wuhan hospitalizations started to make headlines right around the first day of the decade.

B. Evolution

Taletha D. asked:  “How many versions are there? How fast did they mutate?  Why might they have mutated?” 

After SARS-CoV-2 infected people, its evolution was then guided by its human cell environment.  The virus has at least two variants, the “G” and “D” varieties.  They differ by only one “letter” in their RNA code, but the G version is much more effective at latching onto human cells. 10 Hence, the virus has been evolving strongly toward the G variety this year, especially in Europe and the United States.  Unfortunately for us, G’s gain is our loss.  The G virus is ten times as transmissible as D.  In other words, a sneeze requires only 10% as many G viruses as D viruses in order to spread equally to people nearby.  This explains why the epidemic is spreading through the US more rapidly than through China.   

Mutations, or genetic changes, happen randomly.  The G and D varieties might even have existed before human infection.  The part that’s not so random now is the evolution, the competition between G and D in human cells.  Since G is so much more effective, it will come to dominate the viral population. 

II. Medicine

A. Effects

B. Transmission

C. The Race for a Cure

A. Effects

Mitzi M-H. asked about the causes of death

Taletha D. asked:  “Why are some people asymptomatic?”

Karen K. asked, “I’m interested in the research on long-term kidney and lung damage.”

Individuals display a tremendous range of responses to SARS-CoV-2 infection.  The typical manifestation is normal flu-like symptoms.  Some patients experience severe symptoms like shortness of breath, low blood oxygen, or moderate pneumonia. The most critical cases involve respiratory failure, shock, or multiorgan system dysfunction, 11 which can of course be fatal.  Some of the damage comes from the virus itself, and some from cytokine storm, the immune system’s overreaction.  On the other extreme, some cases present no symptoms or signs at all. 12 The percentages of these categories are still in flux, and will be discussed further in Part 3.

The spike protein of SARS-CoV-2, like its cousin SARS-CoV, binds to a protein called ACE2.  ACE2 is distributed unevenly in the human body.  It is present in our lungs, heart, blood vessels, kidneys, liver, GI tract, and the lining of the mouth and nose.  Early COVID-19 reports show that damage to the heart, kidneys, and liver are a serious concern in the worst cases. 13 However, ACE2 is more abundant in the lungs, and that’s where the worst impact will be. 14 Even some asymptomatic carriers get lung damage! 15 The lining of the nose is especially rich with ACE2. 16 That explains those highly invasive nose swabs.  The only true long-term data we have is from SARS-CoV.  A small percentage of SARS survivors suffered long-term lung and kidney damage.  Fortunately, most have recovered completely. 17

The severity of symptoms is correlated to the intensity of viral infection as well as underlying medical factors.  Those with the most critical symptoms tend to be those who had pre-existing conditions commonly associated with old age, obesity, and smoking. 3 18 We still don’t know why some people don’t develop symptoms at all.

The long-term immune response is another great unknown.  We know that the human immune system synthesizes antibodies; almost 30 varieties are currently cataloged. 19 We haven’t had enough time to tell how long a SARS-CoV-2-specific antibody will remain in a survivor’s bloodstream.  As a reasonable comparison, SARS survivors maintained SARS-CoV-1 antibodies in their systems for an average of two years, with significant reduction after three years. 20 Preliminary results seem to show that SARS-CoV-2 exhibits a similar pattern. 21 If so, then we might have to rely on annual shots to avoid getting overwhelmed by future outbreaks.

B. Transmission

Julie W. asked if (and why) food really presents lower risk than surfaces.

SARS-CoV-2 is almost entirely transmitted directly from person to person through exhaled airborne water droplets.  Factors that increase transmissibility include the concentration of virus in a sick person’s system, proximity, crowd density, and duration of contact.  The six-foot rule is based on the distance that the largest cough / sneeze droplets will travel.  This distance is also chosen as a reasonable compromise between medical precaution and social necessities.  However, the dynamics of a sneeze are startlingly effective at spreading germs far and wide, especially because “sneeze clouds” tend to rise and get picked up by ventilation systems. 22

The virus usually incubates in a person for a day to a week before onset of symptoms.  Contagion peaks from two days before to two days after the onset of symptoms. 23 Although we hear a lot of debate about asymptomatic spread, the greater concern is in fact presymptomatic spread.  Of course, someone without symptoms doesn’t know whether she’s uninfected, asymptomatic, or presymptomatic until she starts coming down with symptoms, when it is too late to prevent transmission.  After she develops symptoms, she may be contagious for another week, 24 but by that time she knows she’s sick and is more likely to be quarantined.  The recommended two-week quarantine period comes from adding a week of incubation plus one more week of contagion.              

The makeshift face masks that we ordinary people wear out in public are meant to minimize the spread of water droplets from our own mouths.  These masks protect those around us (in case we are presymptomatic).  No, they are not 100% cough-proof, but they are pretty effective at slowing down water droplets 25 and reducing microbial spread. 26 The respirators reserved for medical workers are engineered for nearly complete two-way filtering; they protect doctors and nurses from infected patients.

We are often warned about touching things – surfaces, other people’s hands, or our own faces.  These are secondary precautions against indirect transmission.  The pathway here is that a sick person coughs or sneezes, his viruses land on a surface (which might be his own hand), a healthy person touches that surface and picks up the virus, and then the healthy person touches her face.  The virus doesn’t penetrate skin, but the eyes, mouth, and nose are vulnerable points of entry.  Since viruses don’t last long on surfaces, they don’t spread as readily this way.  That’s why gloves are not mandated nearly as much as face masks and distancing.   

Best-practice signs in Los Angeles, CA, 6/24/20. 27

The virus can remain on some surfaces for up to three days, though not in great numbers. 28 An exposed surface is not a hospitable place for a virus, so the risk is proportional to how often people touch the surface.  It’s a safe bet that many more people have handled the subway pole than your Subway sandwich! 

Since viruses don’t “eat”, food to them is just another surface.  They could theoretically infect bacteria on the food, but that is not a good route for viral proliferation.  It’s not likely that SARS-CoV-2 would find the right receptors in bacteria cells anyway.  There have been no known reports of people catching COVID-19 through food packaging. 29 Although the virus could theoretically live on produce, that has not been demonstrated as a known vector either. 30

C. The Race for a Cure

1. Vaccine

2. Antiviral

3. Symptomatic treatments

4. Cocktails and computer-aided concoctions

1. Vaccine

Over 40 vaccine trials are in progress. 31 Vaccine development, testing, and approval is an arduous process that normally takes a decade.  Testing occurs in three phases, with a larger and more vulnerable cohort in each phase.  Regulatory agencies are now permitting “fast track” approval processes that could theoretically accelerate the SARS-CoV-2 process to as short as 1 – 2 years.  This would be an unprecedented pace. 

The United States’ Operation Warp Speed is a major collaborative vaccine effort between the federal government and private labs.  OWS has selected three top contenders for Phase 3 testing this summer.  All three teams – Moderna 32 , Oxford / AstraZeneca 33 , and Pfizer / BioNTech 34 – have reported encouraging results in their Phase 1 trials. The Oxford vaccine is especially promising because it stimulates T cells, special white blood cells that would last longer than antibodies.

The road ahead is not guaranteed to be smooth and easy.  Some of the leading competitors in this race, including Moderna and Oxford, have never commercialized a vaccine before.  Proper dosages are still unknown.  The sterile plastic vials that contain vaccine doses will be a major bottleneck in distribution. 35 Nevertheless, these firms continue to speak optimistically of vaccine production beginning this year.

2. Antiviral

There are five or ten viable candidates for anti-coronaviral medications.  Most of them were created years ago for other viruses.  Antivirals are known to have strong side effects, so they are usually reserved for the worst cases until they’ve had adequate testing to prove them safe. 

One of the most promising drugs is called remdesivir, by Gilead.  This was a failed candidate for treatment of Ebola.  One trial has shown that it appreciably reduces the recovery time for surviving patients hospitalized with COVID-19. 36 The FDA has now issued Emergency Use Authorization for remdesivir to treat severe cases. 37

Eli Lilly has taken a new approach to an old remedy, the old “antidote from a survivor’s blood” trick.  After drawing antibodies directly from the blood of a COVID-19 survivor, this company formulated them into a medication called LY-CoV555.  It has been effective in the lab, and is currently being tested on human subjects. 38

3. Symptomatic treatments

The worst cases of COVID-19 result in low blood oxygen and inflamed air passageways.  Ventilators, highly invasive and cumbersome machines, have been the last resort in this fight.  Ventilators present numerous problems of their own.  They can infect patients and damage lungs.  Intubating a patient can eject virus-infected bodily fluid into the air, endangering healthcare workers.  It turns out that COVID-19 patients have surprisingly high tolerance for low blood oxygen.  Researchers now recommend simpler devices such as oxygen tanks and even CPAP machines for patients who have low oxygen as long as they’re still breathing comfortably. 39

Dexamethasone, an anti-inflammatory medication, is the first drug proven to save lives of coronavirus patients.  It was already a well-known pharmaceutical before this pandemic.  Encouragingly, it is also inexpensive.  It has now been shown to reduce the death rate of critically ill patients by 20 – 30%. 40 However, it has not been properly vetted for side effects, and is not recommended for mild cases.  Researchers are cautiously optimistic.

Hydroxychloroquine is a 1950s medicine made controversial when touted by President Trump.  It has been effective against malaria and lupus, neither one of which is caused by a virus.  It also has anti-inflammatory benefits for treating arthritis.  It showed early promise at reducing SARS-CoV-2 in petri dishes (though nobody knew why).  Clinical trials in humans have been inconsistent. 41 Hydroxychloroquine actually appears to suppress the initial immune response against SARS-CoV-2 42 , and it can be harmful to vital organs. 43 The FDA and WHO have dropped it from consideration.

4. Cocktails and computer-aided concoctions

Why choose just one?  The strongest remedies could turn out to be hybrids or pharmaceutical “cocktails”, as for AIDS.  Roche and Gilead are conducting a trial to combine remdesivir with an anti-inflammatory; expect Phase 3 results this summer. 44 Carprofen and Celecoxib are anti-inflammatories that also appear to slightly inhibit replication of SARS-CoV-2. 45

The latter two drugs were identified by computerized analysis of pharmaceutical databanks.  A crowdsourcing project is underway to identify, synthesize, and test more super-candidates like these.  The world’s top chemists are submitting their ideas, and new supercomputer lab PostEra is running simulations to see if and how they can be made.  PostEra has pledged to release any winning chemical formulas into the public domain.  When I first read about this, I called it a “global brainstorm.”  PostEra has a better name for it: “COVID Moonshot”. 46

🦠🌒

Continue to Coronavirus Primer Part 3: Epidemiology

III. Citations

  1. U.S. Air Force photo by Tech. Sgt. Anthony Nelson Jr., in the public domain as the creative work of a US federal agency. https://www.kunsan.af.mil/News/Article/2134889/sky-warriors-covid-19-response/, Photo 1
  2. Alexandar E. Gorbalenya, “The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2”, Nature Microbiology 5, 536-544 (3/02/2020), https://www.nature.com/articles/s41564-020-0695-z (accessed and saved 7/23/20).
  3. Kristian G. Andersen et al., “The proximal origin of SARS-CoV-2”, Nature Medicine 26, 450-452 (3/17/2020), https://www.nature.com/articles/s41591-020-0820-9 (accessed and saved 7/03/20).
  4. Kangpeng Xiao et al., “Isolation of SARS-CoV-2-related coronavirus from Malayan pangolins”, Nature (5/07/2020), https://www.nature.com/articles/s41586-020-2313-x (accessed and saved 7/03/20).
  5. Josephine Ma, “Coronavirus: China’s first confirmed Covid-19 case traced back to November 17”, South China Morning Post (3/13/2020), https://www.scmp.com/news/china/society/article/3074991/coronavirus-chinas-first-confirmed-covid-19-case-traced-back (accessed and saved 7/03/20).
  6. Kate Kelland, “Italy sewage study suggests COVID-19 was there in December 2019”, Reuters (6/19/2020), https://www.reuters.com/article/us-health-coronavirus-italy-sewage/italy-sewage-study-suggests-covid-19-was-there-in-december-2019-idUSKBN23Q1J9 (accessed 7/03/20).
  7. “Coronaviruses as early as December?  Diagnosis of French patient shakes up pandemic chronology,”  KHN Morning Briefing (5/06/2020), https://khn.org/morning-breakout/coronavirus-cases-as-early-as-december-diagnosis-of-french-patient-shakes-up-pandemic-chronology/ (accessed 7/03/20).
  8. Xiaonan Zhang et al., “Viral and host factors related to the clinical outcome of COVID-19”, Nature (5/20/2020), https://www.nature.com/articles/s41586-020-2355-0 (accessed and saved 7/03/20).
  9. From a sample of animal tissues at the market by the Chinese CDC and / or Wuhan Institute of Virology.  I have not yet seen the original report, but it was published shortly before 5/26, when the Wall Street Journal reported on it. The Chinese report was vetted by American scientist Colin Carlson, who finds its results credible.  Carlson communicated the report to LiveScience.  See excellent summary at Rafi Letzter, “The coronavirus didn’t really start at that Wuhan ‘wet market’”, LiveScience (5/28/2020), https://www.livescience.com/covid-19-did-not-start-at-wuhan-wet-market.html (accessed 7/03/20).
  10. Lizhou Zhang et al., “The D614G mutation in the SARS-CoV-2 spike protein reduces S1 shedding and increases infectivity”, Scripps Research Institute (June, 2020; not sure if it’s peer-reviewed yet), https://www.scripps.edu/news-and-events/press-room/2020/20200611-choe-farzan-sars-cov-2-spike-protein.html (accessed and saved 7/03/20).
  11. WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19), Report (2/24/2020), p. 12, https://www.who.int/docs/default-source/coronaviruse/who-china-joint-mission-on-covid-19-final-report.pdf (accessed and saved 7/14/20).
  12. Paul Sax, “What We Know – And What We Don’t – About ‘Asymptomatic COVID-19’”, WBUR (6/26/2020), https://www.wbur.org/commonhealth/2020/06/26/asymptomatic-covid-faq-what-we-know (accessed, saved, and archived 7/19/20).
  13. Tamar Lapin, “Coronavirus may Damage your Kidneys, Heart and Liver”, New York Post (4/15/2020), https://nypost.com/2020/04/15/coronavirus-reportedly-damages-patients-kidneys-heart-liver/ (accessed 7/04/20).
  14. Krishna Sriram, Paul Insel, and Rohit Loomba, “What is the ACE2 receptor, how is it connected to the coronavirus and why might it be key to treating COVID-19?  The experts explain”, The Conversation (5/14/2020), https://theconversation.com/what-is-the-ace2-receptor-how-is-it-connected-to-coronavirus-and-why-might-it-be-key-to-treating-covid-19-the-experts-explain-136928 (accessed and saved 6/26/20).
  15. Heng Meng et al., “CT imaging and clinical course of asymptomatic cases with COVID-19 pneumonia at admission in Wuhan, China”, J. Infect. 81(1):e33-39 (4/12/2020), https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7152865/ (accessed and saved 7/04/20).
  16. Waradon Sungnak et al., “SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes”, Nature Medicine 26, 681-687 (4/23/2020), https://www.nature.com/articles/s41591-020-0868-6#Fig1 (accessed and saved 7/14/20).
  17. Staff writer, “Severe Acute Respiratory Syndrome (SARS)”, American Lung Association, https://www.lung.org/lung-health-diseases/lung-disease-lookup/severe-acute-respiratory-syndrome-sars (accessed and saved 7/04/20).
  18. Staff writer, “People with Certain Medical Conditions”, CDC (7/17/2020), https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html (accessed, saved, and archived 7/22/20).
  19. Staff writer, “SARS-CoV-2 Antibodies”, Sino Biological (apparently continuously updated), https://www.sinobiological.com/research/virus/sars-cov-2-antibody (accessed, saved, and archived 7/19/20).
  20. Li-Ping Wu et al., “Duration of Antibody Responses after Severe Acute Respiratory Syndrome”, Emerging Infectious Diseases 13(10):1562-4 (Oct., 2007), https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2851497/ (accessed and saved 7/19/20).
  21. Quan-Xin Long et al., “Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections”, Nature Medicine (6/18/2020), https://www.nature.com/articles/s41591-020-0965-6 (accessed and saved 7/21/20).
  22. Lydia Bourouiba, Eline Dehandschoewercker, and John W. M. Bush, “Violent expiratory events: on coughing and sneezing”, Journal of Fluid Mechanics 745:537-563 (4/25/2014), https://www.cambridge.org/core/journals/journal-of-fluid-mechanics/article/violent-expiratory-events-on-coughing-and-sneezing/475FCFCBD32C7DB6C1E49476DB7A7446 (accessed and saved 7/19/20).
  23. The facts about incubation and contagion are taken from Xi He et al., “Temporal dynamics in viral shedding and transmissibility of COVID-19”, Nature Medicine (4/15/2020), https://www.nature.com/articles/s41591-020-0869-5 (accessed and saved 7/19/20).  See esp. fig. 1c.
  24. Sax, op. cit.
  25. Matthew E. Staymates, “My Stay-at-Home Lab Shows How Face Coverings Can Slow the Spread of Disease”, NIST (6/11/2020), https://www.nist.gov/blogs/taking-measure/my-stay-home-lab-shows-how-face-coverings-can-slow-spread-disease (accessed, saved, and archived 7/19/20).
  26. Rich van Wyk, “Do face masks really slow the spread of COVID-19?” WTHR (7/07/2020), https://www.wthr.com/article/news/investigations/13-investigates/do-face-masks-slow-the-spread-of-covid-19/531-96479b50-7041-4f95-a88c-e33e2355fa37 (accessed and archived 7/19/20).
  27. Photo by Scot Fagerland
  28. Neeltje van Doremalen et al., “Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1”, New England Journal of Medicine 382:1564-1567 (3/17/2020), https://www.nejm.org/doi/full/10.1056/nejmc2004973 (accessed and saved 7/14/20).
  29. Staff writer, “Food and Coronavirus Disease 2019 (COVID-19)”, Nat’l Center for Immunization and Respiratory Diseases, Div. of Viral Diseases, US CDC (6/25/2020), https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/food-and-COVID-19.html (accessed, saved, and archived 7/14/20).
  30. William F. Marshall III, M.D., “Can COVID-19 (coronavirus) spread through food, water, surfaces and pets?” Mayo Clinic (2020), https://www.mayoclinic.org/diseases-conditions/coronavirus/expert-answers/can-coronavirus-spread-food-water/faq-20485479 (accessed, saved, and archived 7/14/20).
  31. The full list is updated at Jeff Craven, “COVID-19 vaccine tracker”, Regulatory Focus (updated regularly since March, 2020), https://www.raps.org/news-and-articles/news-articles/2020/3/covid-19-vaccine-tracker (accessed 7/19/20).  
  32. Lisa A. Jackson et al., “An mRNA Vaccine against SARS-CoV-2 – Preliminary Report”, New England Journal of Medicine (7/14/2020), https://www.nejm.org/doi/full/10.1056/NEJMoa2022483 (accessed and saved 7/20/20).
  33. Pedro M. Folegatti et al., “Safety and immunogenicity of the ChAdOx1 nCoV-19 vaccine against SARS-CoV-2: a preliminary report of a phase ½, single-blind, randomized controlled trial”, The Lancet (7/20/2020), https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)31604-4/fulltext (accessed and saved 7/21/20).
  34. Amy Rose et al., “Pfizer and BioNTech Announce Early Positive Data from an Ongoing Phase ½ study of mRNA-based Vaccine Candidate Against SARS-CoV-2”, Business Wire (7/01/2020), https://www.businesswire.com/news/home/20200701005576/en/ (accessed, saved, and archived 7/20/20).
  35. Ciaran Lawlor et al., “The Timelines and Expectations for COVID-19 Vaccines”, BCG (5/14/2020), https://www.bcg.com/en-us/publications/2020/covid-vaccines-timelines-implications (accessed 7/20/20).
  36. Staff writer, “NIH Clinical Trial Shows Remdesivir Accelerates Recovery from Advanced COVID-19”, NIH-NIAID (4/29/2020), https://www.niaid.nih.gov/news-events/nih-clinical-trial-shows-remdesivir-accelerates-recovery-advanced-covid-19 (accessed, saved, and archived 7/21/20).
  37. Staff writer, “Coronavirus (COVID-19) Update:  FDA Issues Emergency Use Authorization for Potential COVID-19 Treatment”, FDA (5/01/20), https://www.fda.gov/news-events/press-announcements/coronavirus-covid-19-update-fda-issues-emergency-use-authorization-potential-covid-19-treatment (accessed, saved, and archived 7/21/20).
  38. Staff writer, “Lilly Begins World’s First Study of a Potential COVID-19 Antibody Treatment in Humans”, Eli Lilly (6/01/2020), https://investor.lilly.com/news-releases/news-release-details/lilly-begins-worlds-first-study-potential-covid-19-antibody (accessed, saved, and archived 7/21/20).
  39. Ardan M. Dondorp et al., “Respiratory Support in COVID-19 Patients, with a Focus on Resource-Limited Settings”, Am. J. Tropical Medicine & Hygiene 102(6):1191-7 (6/03/2020), https://www.ajtmh.org/content/journals/10.4269/ajtmh.20-0283 (accessed and saved 7/21/20).
  40. Peter Horby et al., “Effect of Dexamethasone in Hospitalized Patients with COVID-19 – Preliminary Report”, medRxiv (6/22/2020), https://www.medrxiv.org/content/10.1101/2020.06.22.20137273v1 (accessed and saved 7/22/20).
  41. Jennifer Tran, “Can Hydroxychloroquine and Chloroquine Be Used to Treat Coronavirus (COVID-19)?” GoodRx (7/08/2020), https://www.goodrx.com/blog/coronavirus-medicine-chloroquine-hydroxychloroquine-as-covid19-treatment/ (accessed, saved, and archived 7/21/20).
  42. Nils Rother et al., “Hydroxychloroquine inhibits trained immunity – implications for COVID-19”, medRXiv (6/09/2020, peer review in progress), https://www.medrxiv.org/content/10.1101/2020.06.08.20122143v1 (accessed and saved 7/21/20).
  43. Staff writer, “FDA cautions against use of hydroxychloroquine or chloroquine for COVID-19 outside of the hospital setting or a clinical trial due to risk of heart rhythm problems”, FDA (7/01/20), https://www.fda.gov/drugs/drug-safety-and-availability/fda-cautions-against-use-hydroxychloroquine-or-chloroquine-covid-19-outside-hospital-setting-or (accessed, saved, and archived 7/21/20).
  44. Nicholas Dunant et al., “Roche initiates phase III clinical trial of Actemra/RoActemra plus remdesivir in hospitalized patients with severe COVID-19 pneumonia”, Roche (5/28/2020), https://www.roche.com/media/releases/med-cor-2020-05-28.htm (saved, accessed, and archived 7/22/20).
  45. Aleix Gimeno et al., “Prediction of Novel Inhibitors of the Main Protease (M-pro) of SARS-CoV-2 through Consensus Docking and Drug Reposition”, Int’l Journal Molecular Sciences 21(11):3793 (5/27/2020), https://www.mdpi.com/1422-0067/21/11/3793 (accessed and saved 7/22/20).
  46. Alpha Lee et al., “COVID Moonshot:  Help Us Fight Coronavirus”, PostEra, https://postera.ai/covid (accessed, saved, and archived 7/22/20).

Coronavirus Primer, Part 1: Background

Color-enhanced but real image of viruses (green) infecting a human cell (blue) 1
 

I. About This Primer

II. Viruses

III. Coronaviruses

IV. Citations

I. About This Primer

Without a doubt, the biggest story of 2020 is the coronavirus epidemic. 2 By the middle of the year, I, like many others out there, felt overwhelmed in a muddle of fragmented news and science, misinformation, and general confusion.  I announced on Facebook that I wanted to “digest it all” and assemble the best known information into one primer.  “Any questions you’d like me to research?” I asked, and a few friends immediately chimed in with requests.  Hopefully, this will help us understand coronavirus basics from the ground up.  I will begin this primer with the big picture and then gradually zoom in from viruses to coronaviruses to this year’s unwanted pests.  There is far too much ground to cover in one article, so I’m breaking it into multiple parts.  Today’s post is Part 1:  Background.  This article discusses viruses and coronaviruses in general. 

II. Viruses

A. Square One: What is a Virus, Anyway?

B. Infection, Immunity, Inoculation

C. Human Viral Diseases

D. Measuring Epidemics

E. Treatment Options

A. Square One: What is a Virus, Anyway?

Viruses occupy one of the most intriguing positions in the whole grand scheme of things.  They are microbes right at the boundary of life and non-living chemistry.  This makes them primary subjects of interest for scientists studying the origins of life.      

You are made of about 30 trillion cells. 2 We call a cell the smallest unit of life because it performs all the functions that we expect of a living thing.  A cell grows, responds to stimuli, metabolizes, heals, sustains and defends itself, reproduces, and dies.  However, it is not a unitary blob of spittle.  A cell is a complex system with hundreds of interacting parts, with names like macromolecules and organelles.  Most of those parts specialize in just one life function, so by themselves they are not fully alive.  If I could compare a virus to anything else, I’d say it’s like a cell organelle that specializes in reproduction. 

Viruses are like living things in numerous ways.  They are made of the same basic macromolecules as us:  nucleic acids, proteins, lipids, and carbohydrates.  At the core of every virus is a bundle of DNA or RNA comprising a few genes.  Viruses reproduce and evolve / speciate.  Biologists classify them and give them Latinesque scientific names.  Viruses can be “killed” by heat, chemicals, or radiation.             

However, viruses are like lifeless chemicals in that they don’t metabolize, respond, heal, change, or grow.  Nor are they able to protect themselves from the environment.  And although viruses specialize in just one thing – reproduction – they can’t even do that by themselves.  A virus is an absolute parasite.  In order to function, it must inhabit a living cell.  The “life” cycle of a virus is to invade a cell and exploit the cell’s resources to make dozens of copies of itself, which then burst forth to invade other cells.  Viruses infect the cells of all living things, from bacteria to whales.  They kill more life forms, and more humans, than any other force of nature.

B. Infection, Immunity, Inoculation

While some viruses are harmless or even beneficial, most of them cause irreparable or fatal damage to their host cells.  Rapidly reproducing viruses consume a cell completely and then burst out like a battalion of creepy little microscopic robots.  Since they are vulnerable outside of cells, they must pass quickly from dying cell to living cell.  They can pass from one person to another through skin, body fluids, or air currents.

Viral infection involves proteins on the surfaces of viruses and cells.  Proteins have complex three-dimensional shapes like locks and keys.  If a virus has the protein “key” to a cell’s outer “lock”, it will latch on and inject its genes inside.

In a human or animal body, fragments of viruses called antigens react with our white blood cells, aka our immune system.  In lucky cases, the immune system produces a protein called an antibody, a natural defense.  An antibody latches onto the antigen that stimulated it.  Sometimes, the antibody disfigures the virus’s “key” so that the virus can no longer penetrate cells.  Other antibodies “flag” a virus so that white blood cells can easily identify and destroy it.  While a person has an antibody in his blood, he is immune to that virus.  The next time the virus comes along, his antibodies will latch onto the virus’s antigens and slow it down or stop it.  Some antibodies last a lifetime, while others disappear from the bloodstream in a few years.  A vaccine is a human-made, finely tuned dose of antigens – just enough to stimulate an immune response without a full-blown infection.  If enough people in a community become immune to the virus, whether through natural immunity or vaccine inoculation, the virus begins to die out and can even go extinct.             

It’s important to note that viruses evolve quickly.  This is especially true of RNA viruses, which most human viruses are.  When a virus evolves, its proteins can change shape.  That is a headache for us; we are forced to keep reinventing new locks to morphing viral keys.  Occasionally, a virus that infects one animal will evolve to a new form that infects another animal, including humans.  A virus that jumps ship from one species of host to another is called zoonotic.

C. Human Viral Diseases

A viral disease is not quite the same as the virus that causes it.  A disease is the physical manifestation of the virus, its effects on the person.  Sometimes a virus and its disease have different names, as HIV (Human Immunodeficiency Virus) causes AIDS (Acquired Immuno-Deficiency Syndrome).  In other cases, we use a single term, like “Ebola”, to name both the virus and its disease.  There are too many human disease-causing viruses to list here.  Examples include adenoviruses, astroviruses, encephalitis, enteroviruses, hepatitis, herpes, HPV, influenza, measles, meningitis, mumps, noroviruses, parainfluenza, polio, pox, rabies, rhinoviruses (which cause colds), roseola, rotaviruses, rubella, West Nile, Zika, … you get the picture.

D. Measuring Epidemics

Viruses are inherently public health threats.  Human viruses would quickly die out if they did not have lots and lots of people to infect. Viral infections can be quantified in numerous ways. The three most fundamental independent metrics are reproduction number, transmission time, and case-fatality rate.

Reproduction number is commonly abbreviated as R0.  It measures the average number of healthy persons who catch the virus from each infected person.  For example, if each sick person makes four other people sick, then R0 = 4. 

Transmission time is the average time it takes a virus to spread from one person to another.  I don’t see this factor discussed very often, but it makes a big difference whether a sick person infects others in a matter of hours (like an airborne virus in a mall) or years (like a sexually transmitted virus). 

Finally, the infection-fatality rate is the most morbid statistic of them all: the percentage of infected persons who die.  The number of serious illnesses or hospitalizations may be measured as well; they will be closely correlated to the fatality rate.

Unfortunately, the fundamental metrics above are difficult to measure.  We can’t measure them all in a lab because they are not entirely intrinsic to the virus.  They depend on human activity too.  It’s hard to know how many people are infected when not everyone is tested and / or exhibiting symptoms. 

The easiest way to measure the severity of an epidemic is with the number of deaths and / or hospitalizations.  These numbers are documented well.  There will still always be some over-reporting (deaths attributed to the virus that were really due to something else) and under-reporting (deaths due to the virus that weren’t counted).  On a societal level, sheer numbers are more meaningful than rates.  It doesn’t really matter if there are 1,000 infections that are 10% fatal or 10,000 infections that are 1% fatal.  Both scenarios will result in 100 deaths and should be considered equally dangerous.  Of course, if you get infected, you sure will be interested in knowing if you have a 1% or 10% chance of dying!

Taken together, the reproduction number and transmission time determine the doubling time, or the amount of time it takes for the prevalence of infections to double in the population.  The pattern characterized by a constant doubling time is called exponential growth.  In real life, exponential growth never lasts long, because it runs up against limitations like immunity or finite populations.  Doubling time is the metric we hear most on the news, because it is easy to calculate by simply counting cases.  Breaking it down offers slightly more insight, if only theoretically.  When doubling time increases, it demonstrates that each sick person is infecting fewer healthy people and / or she’s doing so more slowly, which are the intended effects of social distancing.

When doubling time slows down (as it always must) the simplest model for epidemic growth is the logistic formula.  This S-shaped curve represents the all-time number of cases “flattening” as it reaches its maximum and stops growing.  The point where the number of daily cases starts to decrease is the point of inflection.  I hear some people using the term “inflection point” as if it means the point where a virus “really takes off”.  That’s the opposite of the correct meaning, and there is no well-defined point of acceleration on the curve.

Real epidemiologists use sophisticated numerical algorithms that model the interactions among Susceptible, Immune, and Recovered people.  These SIR  or compartmentalized models are run on supercomputers.

The logistic curve, unlike exponential growth, models the “flattening” or maxing out that must eventually occur.  The inflection point is where growth starts to slow down; it is shown at (5, 50) on this example. 3

E. Treatment Options

Besides vaccines, there are at least two medical options for some viral infections.

Antiviral drugs kill viruses after infection.  Antiviral pharmacology is recent technology.  It is more sophisticated than vaccinations.  To produce an antiviral medicine, researchers sequence the virus’s RNA and proteins and then engineer molecules to target the virus’s vulnerable points.  This highly advanced research developed in response to the AIDS pandemic. 

Each vaccine or antiviral medication is engineered specifically for one strain of virus.  Though the vaccines for polio and smallpox were “miracle cures” that drove their viruses to extinction, they are useless against other viruses.  Medical labs are experienced and pretty effective at making influenza vaccines.  On the other hand, centuries of effort have still yielded no rhinovirus vaccines.

Because vaccines and antivirals are not always available, hospitals must also rely on symptomatic treatments, which only mitigate the disease without managing the virus.  Some drugs treat symptoms such as inflammation (also known as cytokine storm).  In extreme cases, medical equipment like ventilators assist with breathing while the virus passes.

III. Coronaviruses

A. What Coronaviruses Are

B. The First Two Killer Coronaviruses

A. What Coronaviruses Are

Coronaviruses are classified as the family Coronaviridae in the virus family tree.  They get their name from the “spike” proteins, also known as S proteins, embedded in their fatty envelope.  The spikes look like the corona (crown) of the sun, and they are the killer proteins involved in latching onto host cell membranes. 

Coronaviruses have infected bats and birds for tens or hundreds of millions of years. 4 They are occasionally transmitted to other mammalian species that come into contact with bats.  There are now five genera of coronaviruses.  Two of them, Alphacoronavirus and Betacoronavirus, include species that infect humans.  Today’s living alpha- and beta-coronaviruses descend from a common ancestor four or five millennia ago. 5

Some animal diseases that are now recognized as coronavirus infections came to veterinary attention in the early 20th century.  The viruses themselves were only observed and named in the 1960s.  Since then, the medical community has identified seven coronaviruses that infect humans.  Four of them only cause colds.  The three most recent strains, all beta-coronaviruses that evolved in the 21st century, are much more severe.  There are no known treatments for any of them. 

B. The First Two Killer Coronaviruses

The first alarming coronavirus outbreak was the SARS epidemic of 2002 – ’04.  SARS stands for Severe Acute Respiratory Syndrome. 2 The virus that caused it was named SARS-CoV.  The SARS coronavirus originated in horseshoe bats in southern China. 6 It was then apparently transmitted to intermediary species that were sold in exotic animal markets: the palm civet (a wild cat), the raccoon dog (a wild dog), and / or the ferret badger.  All of these species carried SARS-CoV-like viruses.  The exact pathway from bat to carrier to human has not yet been solved.   

SARS had a high case-fatality rate, about 10%.  It was easy to detect infected people, though, because almost everybody who caught it broke out into fever and coughs within 2 – 3 days.  The sick were quickly quarantined and questioned about their most recent contacts, who were also isolated.  Local governments also ordered a mass killing of palm civets. 7 Even without a vaccine or anti-viral remedy, the anti-SARS campaign was a complete success.  Only 8,000 people ever caught this disease.  Canada was the only non-Asian country with more than one death.  Curiously, just like COVID-19, SARS barely touched Africa.  The peak of the outbreak lasted just a few months, February – July 2003.  The onset of summer weather slowed it down.  By 2004, SARS-CoV was extinct. 

Living in a world city, Los Angeles, I have long noticed Chinese nationals wearing face masks all the time, and I always wondered why.  It’s the SARS outbreak that got them in the habit, and many have worn masks routinely ever since 2003.  It doesn’t seem so unusual anymore!

The next major coronavirus outbreak was called MERS (Middle East Respiratory Syndrome) because it was concentrated in Saudi Arabia and neighboring countries.  The MERS virus passed from bats to camels in the 1990s and then to people who made close contact with camels in 2012.  This virus had a distinct profile.  MERS had a much higher case-fatality ratio.  30 – 35% of the patients who caught it died!  Fortunately, it did not easily pass from one person to another.  The MERS virus still exists, but it has only killed 900 people, just a few each year now. 

In 2017, the scientists who traced SARS-CoV to a bat cave in Yunnan Province observed that the viruses were recombining (intermixing) to form myriad new combinations.  Their discussion included this prophetic warning:

“We have also revealed that various SARSr-CoVs … are still circulating among bats in this region.  Thus, the risk of spillover into people and emergence of a disease similar to SARS is possible.” 8

Ben Hu (2017)

Continue to Coronavirus Primer Part 2: SARS-CoV-2, COVID-19, and the Individual

IV. Citations

  1. Photo Credit: C. GoldsmithContent Providers: CDC/ C. Goldsmith, P. Feorino, E. L. Palmer, W. R. McManus / Public domain.  https://commons.wikimedia.org/wiki/File:HIV-budding-Color.jpg (accessed and saved 6/23/20).
  2. Ron Sender, Shai Fuchs, and Ron Milo, “Revised Estimates for the Number of Human and Bacteria Cells in the Body”, PLOS Biology (8/19/2016), https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002533 (accessed 7/06/20).
  3. Logistic curve by Yapparina / CC0, https://commons.wikimedia.org/wiki/File:Logistic_curve,_r%3D1,_K%3D100,_N0%3D1.png (accessed 7/07/20).
  4. Joel O. Wertheim et al., “A Case for the Ancient Origin of Coronaviruses”, Journal of Virology 87(12):7039-45 (June, 2013), https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3676139/ (accessed and saved 6/25/20).
  5. Patrick C.Y. Woo et al., “Discovery of Seven Novel Mammalian and Avian Coronaviruses in the Genus Deltacoronavirus Supports Bat Coronaviruses as the Gene Source of Alphacoronavirus and Betacoronavirus and Avian Coronaviruses as the Gene Source of Gammacoronavirus and Deltacoronavirus”, Journal of Virology 86(7):3995-4008 (Apr., 2012), https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3302495/ (accessed and saved 6/25/20).
  6. Ben Hu et al., “Discovery of a rich gene pool of bat SARS-related coronaviruses provides new insight into the origin of SARS coronavirus”, PLOS Pathogens 13(11):e1006698 (11/30/2017), https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1006698 (accessed and saved 6/25/20).
  7. Jane Parry, “WHO queries culling of civet cats”, BMJ 328(7432):128 (1/17/2004), https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1150312/ (accessed and saved 7/03/20).
  8. Hu (2017), op. cit., “Discussion”, last paragraph.

Optimizing Location Step 2: Know Your Market, Know Yourself

I recently announced a quest to find the most “profitable” places to be self-employed. I am posting my deliberations online in case others might be interested in my thought process and / or findings.

As I started researching various locations, I found that my initial model of “Median Income – Median Rent” was a little too simple to capture the realities of living in one place vs. another. The hard part is estimating how much I’d earn. For instance, some of the wealthiest neighborhoods are sparsely populated, so it’s hard to see how I’d pull in good business there. This has forced me to take a closer look at what I need in a locale. That, in turn, depends very much on the services and clientele that I serve. Before I can get much further, I need to take a closer look at myself and my needs. This analysis will have very different details for each businessperson, but the same principles will apply: Define your market households and find out where they are.

My Services

I run a unique shop as a tutorney: part tutor, part attorney. A look at last year’s bookkeeping reports showed me how last year’s revenue was distributed across three categories of service. The breakdown was pretty close to:

  • Legal and patent services = 50%
  • One-on-one tutoring = 25%
  • Group classes = 25%

Before I looked it up, I didn’t even know this basic fact. I’m learning something already! Thus far, I need all three streams of income to make a living.

My Market Households

To complicate matters, these services cater to different demographics.

My core clientele for legal and patent services is small businesses and mid-to-high income individuals, so let’s say the market household is $100,000+ income. Clients call into my law office from a fairly broad region of the Los Angeles metropolitan area, mostly within, say, a 25-mile zone. It wouldn’t make much of a difference where my law office is located within a city. It’s the city that will make the difference. I need to live in a city with a high number or density of $100,000+ households. (I would rather not adjust this for the cost of living across various cities, because it’s a ballpark figure anyway).

The $100,000+ income bracket is also a good measure of my market household for one-on-one tutoring. Most of them are high-school families. This market is much more localized; most of these clients don’t bother driving more than about four miles to my office. To maximize on this market, it’s best to find a neighborhood within a city that has a high market household density. It’s not very important to have super-rich clients. $500,000 households don’t need five times as much tutoring as $100,000 households. It’s the density of “rich enough” households that matters.

Third, I teach group “test prep” classes to college graduates applying to graduate or professional school. In this market, my clients tend to be low-to-mid income. My classes cost about half as much as the big agencies’ (like Kaplan), so I draw the bargain-hunting crowd. That works for me, because I group them together and earn a good hourly rate. Group-class students are less localized than high-school students. They sometimes drive up to 25 miles to get here, which is practical on the weekends. Living near a college would help if I could really tap into it, but that’s hard to do. Most of my students are already done with college. I’ll say my ideal environment for group classes is a metropolitan area with a high density of $50 – 100K households 3 , with nearby colleges being a nice bonus.

It’s probably not possible to find a neighborhood that is optimal for all three of these markets, but I should be able to identify strong combinations. For example, areas with uniform distributions of low-, middle-, and high-income households offer some of all these markets, while also offering low-rent housing. If I had to sacrifice one of these markets for the others to grow, I would give up the one with the lowest hourly rate — high-school tutoring.

Competition

Growing your business is not just about finding a bigger market. You also want a big market share. That depends on the number and size of competing businesses. It’s a major factor that I think many entrepreneurs overlook. A friend of mine is one of the most successful immigration lawyers in Phoenix, AZ. She expanded to LA and counted on an easy-breezy doubling of her fortune. What she hadn’t counted on was the dozens of competing immigration lawyers near her LA office. Dozens — not in her neighborhood but in her freaking building. It was a market she was not prepared for. That office was closed within a few years.

My friend’s example shows that competition might not be proportional to city size. In line with that, the large national test-prep chains like Kaplan can’t be in every city. They focus on the very largest college communities in the very largest cities. I currently live between UCLA and USC, but I hardly ever get students from either school. Blueprint and Manhattan Prep occupy their campuses like invading armies. Maybe a school like Cal State Northridge or the University of Minnesota would be slightly less under their domination.

Toward a metric

If I can capture the most important factors, I can construct a sort of “earnings metric” for each city or neighborhood. From the considerations above, those factors would have to include:

  • A = Number of $100,000+ households within a 25-mile radius
  • B = Number of $100,000+ households within a 4-mile radius
  • C = Number of $50,000 – 100,000 households within a 25-mile radius
  • D = Number of competing patent lawyers within a 25-mile radius
  • E = Number of competing high-school tutors within a 4-mile radius
  • F = Number of competing test-prep centers within a 25-mile radius

Then my earnings metric would be something like:

M = 0.5(A/D) + 0.25(B/E) + 0.25(C/F)

When measured against the baseline neighborhood where I live now, M would be a good first guess for an earnings multiplier. That is, if M = 1 for Rancho Park and M = 2 for Austin, then I could reasonably expect to earn twice as much in Austin as in Rancho Park. To be more precise, each ratio will actually be a ratio of ratios: the new neighborhood ratio over my current ratio. But now we’re getting into formulas that are too hard to type in a simple blog post. 😛

The next phase of the analysis will be determining the baseline ratios for my current location: Who lives here, and who’s serving them in competition against me?

A quest for the most profitable location to be self-employed

Step 1: Formulating the Problem

I hate moving. I refuse to do it more than once in five years. However, I will relocate for good reason. Now I’ve been in one spot for six years. I am not tied down to an employer and, sadly but importantly, my cat only has a few months to live. In a nutshell, I am completely liberated to move anywhere I want. So … wow, where do I go from here?

I came to Los Angeles two decades ago for law school, and I’ve been here ever since. Most people’s response is, “OMG; LA?! it’s so expensive there!” Now, that’s only half the story, but it’s the half that everyone thinks of (probably because most people are not self-employed but think in terms of fixed salaries). LA is also known as an exceptionally large market with strong earning opportunities. I’d be likely to earn less anywhere else. But so far this is all conjecture. Some locations must be more profitable than others, and I might as well identify the best. It’s not a decision I’d base on word-of-mouth. So now I am on a quest, a data-mining-and-analysis-quest, for the most profitable location to live. I will only undertake a long-distance move if it would clearly offer a more profitable lifestyle than I could find locally.

Note that my operative criterion is “profitable”. The business mandate is to maximize profit: revenues minus expenses. For a person, this translates to:

PERSONAL PROFIT = TAKE HOME PAY – RENT

Modeling notes: This assumes that non-rent expenses would be pretty much constant, i.e. it would cost roughly the same to eat, make car payments, or visit the doctor no matter where I lived, and that rent would dwarf any other single expense anyway. Local or state taxes could have an appreciable impact on take-home pay.

Take-Home Pay

For many people, relocation is all about jobs. That’s not my circumstance. I am pretty much a confirmed entrepreneur. I’m going to turn 50 next year never having held a long-term / full-time job. I think it’s safe to say that sending out resumes will be a waste of time. I’ve been self-employed for years as a small-business lawyer and a higher-ed tutor. (I’m the only known tutorney, thank you very much). Therefore, my livelihood depends on access to clients with disposable income. If rent were no concern, my ideal location would be an urban neighborhood densely packed with rich people. The nice thing about derived income is that it doesn’t matter what the local industry is. I wouldn’t have to know coding to live in San Jose, banking to live in Manhattan, or lobbying to live in DC. I’d simply offer my services to those who do. The more they earn, the more I earn — though not necessarily as much as them.

As a secondary concern, California has such high income tax that I’m starting to notice it as an avoidable drag on take-home pay.

Rent

Of course, rent is a concern. That’s why, in LA, I live as close as I can to dense, rich neighborhoods like Santa Monica and Beverly Hills without actually living in them myself. The cost of doing business takes a great bite out of my take-home pay, too; I have to pay rent for my office as well as my apartment. If income were no concern, my ideal location would be a trailer park in Mississippi. But of course, local clients would be few and far between.

That raises the interesting question of online work. I do have a couple of law-office clients now who would continue working with me remotely wherever I went. That’s not enough to keep me afloat, though, and I would have a lot of trouble finding new clients strictly online.

The goal: A lucky balance

So I need to find a location where income is randomly high and rent is randomly low. I can’t think of a place that would score well on both for obvious reasons. This will clearly require some data mining. Only after I scout out some of the luckiest locations will I know if there is a slam-dunk winner. I don’t even know whether inter-city or intra-city variation is higher yet.

Other Considerations

The sheer numbers will be only a starting point. I’d still have to figure out the logistics of getting to know the local markets and demographics, finding new business, commuting from home to work, etc. Starting business over is very difficult. I know LA pretty well, and, if nothing else, I am established here. A major relocation would involve a leap of faith. It’s also important to consider the supply side of my industries, i.e. the density of test-prep centers or attorneys nearby. I am only licensed to practice law in California, so moving to a different state would also involve the extra step of taking another bar exam.

Locales

Here are some obvious candidates for my first round of comparisons:

  • Locations known for high income (Malibu, NYC)
  • Locations known for low rent (Palmdale, Detroit)
  • Locations toted as having a favorable “index of living” or “local purchasing power”
  • Locations as specific as possible.
  • Numerous neighborhoods within the LA metropolitan area and numerous locations elsewhere.
  • And of course, I’ll also see how my family’s locales stack up. I have a brother, sister, and parents in three completely disparate communities in different states.

Variables

For each location, key variables will include median income per capita and median rent. Those figures are available for almost every city, county, and metropolitan area in the US at www.DeptOfNumbers.com , which uses data from the US Census Bureau’s American Community Survey (which apparently updates annually). I might also be able to find a breakdown of income and / or rent by US Census tract; income is mapped out very nicely at https://project.wnyc.org/median-income-nation/#5/38.630/-95.890 .

This will obviously be an ongoing series. Next time, I will post my initial findings. Let me know if you have any information about affordable locales or thoughts about my modeling.

The GGGT of the Great Lakes

Final update, 4/27/20: Due to the corona virus pandemic and nationwide stay-at-home orders, this trip is POSTPONED TO ANOTHER YEAR. It will be at least 2022, as the family has other plans for the summer of 2021.

A 19th century Korb portrait, Fond du Lac County, Wisconsin

The Great Grand Genealogy Tour of the Great Lakes States, aka the “Great Lakes Greats”, will be a driving tour through Michigan, Indiana, Ohio, Illinois, and Wisconsin May 28 – June 6, 2020. We will be visiting the graves, churches, and farms of about 18 ancestral couples: ancestors of my grandmothers Eileen Korb-Beck and Loretta Meyer-Fagerland. Descendants of Norman Wirth have some ancestors on this route too. Anyone who’s interested is invited to join some or all of the tour. There are only two rules:

  • I will set the itinerary
  • You must pay for your own way

The map and calendar below show the route. Colored pins show the points of interest: Red for graves, green for churches or farms, purple for libraries or historical societies. If you don’t see anything on the map, please click the slider at upper left and make sure that “Great Lakes” and its “Driving Route” are checked. Most of the highlight pins indicate (K) for Korb ancestors or (M) for Meyer ancestors. Note that all of the Korb / Wirth ancestors are in Fond du Lac, WI, where we will wrap up our tour on June 5 – 6. There are Meyers at all stops, including Fond du Lac.

Here’s the calendar format, which includes travel information. All times shown are in the Central Time Zone.

My sister, Amy, is feeling adventurous to join me for the whole trip. Mom and her sister, Lisa, will meet us in Fond du Lac at the end of the loop.

Be sure to check this page regularly for updates!

My 30th “Tonight Show” Anniversary: New and Updated Alphabetizing Videos

Me on the Tonight Show, 11/22/1989. This is my souvenir photo signed by Johnny Carson

Introduction

The Tonight Show, 11/22/1989

Alphabetizing with Walter Cronkite, 3/11/1991

Alphabetizing on CBC / NPR Radio, 1992

Ana the Alphabetizer, 3/15/2019

Introduction

I have the extremely rare and useless ability to alphabetize the letters within each word and then speak the alphagrams at conversational speed. This party trick does not make me rich, famous, or brilliant, but it has been good fun over the years. As an 18-year-old college freshman, I even got to perform it with Johnny Carson on The Tonight Show. That once-in-a-lifetime occasion came the day before Thanksgiving, November 22, 1989. 11/22 has become a minor personal holiday for myself. I sometimes use that date to make updates on social media. Today, on the 30th anniversary, I present my entire updated YouTube playlist, which includes never-before-seen footage — some new and some newly discovered!

The Tonight Show, 11/22/1989

Tonight Show Highlights

Tonight Show Full segment

For starters, I have replaced my previous Tonight Show video footage — which literally was “footage” from Mom and Dad’s VCR — with a clip licensed directly from Carson Entertainment Group’s digital archives. I have also spliced it into two new formats.

Tonight Show Highlights

Here is my new “Highlights” version of the Tonight Show appearance. This 3-minute clip is limited to my actual onstage alphabetizing and the minimal necessary setup.

Tonight Show Full Episode

This 7-minute clip covers my full Tonight Show segment, including all banter and offstage mentions.

Alphabetizing with Walter Cronkite, 3/11/1991

This video isn’t new, but I include it here for the sake of completion. The Tonight Show appearance brought me some recognition within the Caltech community. I was invited to perform with MC Walter Cronkite at Caltech’s official Centennial Celebration in 1991.

Alphabetizing on CBC / NPR Radio, 1992

In early 1992, Jay Ingram of CBC interviewed me for a CBC / NPR radio series called “Cranial Pursuits.” The interview aired that July 12 as part of the “Autistic Savants” episode. I couldn’t locate this interview when I was preparing my Tonight Show Silver Anniversary blog post. In the intervening five years, my detective work has turned up a copy! CBC sent me the audio file, and I put together this visual presentation.

Ana the Alphabetizer, 3/15/2019

Ana and Me – Highlights

Ana and Me – Full Meeting

After I posted my original Tonight Show appearance to YouTube, other alphabetizers started contacting me at the rate of about one per year. I arranged to meet one of them, Ana Arteaga-Biggs. I specifically met Ana for numerous reasons (not just because she’s beautiful!) First, she happens to live in southern California, just two counties away from me. On top of that, Ana is the only other alphabetizer I’ve ever spoken to who pronounces the alphagrams. Everyone else spells them letter by letter. Now this I had to see! I drove to San Diego to meet Ana on 3/15/19. 2 As an added bonus, we got a third alphabetizer, Sheena Sallee, on speakerphone with us for a few minutes. Ana and her husband and I chatted for the better part of an hour. I tried convincing them to name their first child “Abby”, but they already had a name picked out. (Maybe the next one, guys, please?!)

Ana and Me – Highlights

This compilation singles out the moments that Ana and / or I spent alphabetizing.

Ana and Me – Full Conversation

Ana and I actually spent most of our time “talking shop”. We were curious to compare our formation and development of this skill, our pronunciations, mental processes, etc. Ultimately, we keep arriving at the same frustrating conclusion: our ability is too subconscious to describe! But for those of you who may have a deeper interest in our psychology, there is plenty of interesting material (including all the alphabetizing) in this half-hour playlist. You can click here to learn more about what I called Morrowisms.

Morrowisms

I often commemorate November 22, the anniversary of my Tonight Show appearance, with a blog post of memorabilia or updates.  This year’s post is not about me.  I need to relate one of the surprising twists of fate that has happened along the way.

(For those of you not familiar with the backstory , see my Tonight Show Silver Anniversary blog series).

The TV appearance brought me to the attention of a few people with similar talents.  In 2011, I was connected to a cool Canadian woman named Camilla Morrow.  In our phone conversation, she explained the word game that she played in her mind:

Start with a short sentence or phrase:  Why aren’t we together?

Eliminate the repeated letters, keeping only those that appear once:  whY AreNt we tOGether?   (“Why this step?” I asked.  She wasn’t sure why her mind insisted on this rule but thought it was perhaps to keep the result “manageable”.  She was also a natural alphabetizer, and she said that alphabetizing helped with this step in her mind.)

Form a meaningful anagram (reordering) of the remaining single letters.  Ideally, the result should complete, answer, or relate to the original phrase in a funny, ironic, or “wise” way:  Agony!

Got it?  Why aren’t we together?  –> Agony!  

Camilla gave me a few clever examples over the phone, and she said that she’d been keeping a list of them throughout her life.

When I wrote my silver anniversary blog post in 2014, I emailed Camilla to ask if I could quote some of her “Morrowisms”.  She wrote back with the bad news that her health was poor.  She added, “Before I’m off to the next world, I’d like to leave a list of my best ones…maybe I’ll ask a friend…..do you have any ideas how best to do it?”  I told her that of course she could just email them to me.  Even this was difficult for her at the time, but she did finally send me her list.  It must have been her life’s work, with over 600 examples!  “I hope you’ll be able to get them out there so people can enjoy them,” she wrote.  I responded to say thanks and to give her my reassurances, but didn’t hear from her again.

That was March 8, 2015.  I later found out through a Facebook post that Camilla died that very day!  She had literally entrusted her life’s work to me from her deathbed.  I felt honored with a responsibility to post Camilla’s Morrowisms online.  I’m not a famous person with a “platform”, but at least they will be out there as she intended.

Enjoy Camilla Morrow’s full collection of “Morrowisms” on this PDF or below.  Most of them are clever, funny, and light-hearted.  One of my favorites is “St. Paddy’s Day –> Pint.”  Many of them don’t mean much.  Part of the fun is sorting through the duds to identify your favorites.  And then there’s the penultimate one, the heartbreaking entry, “And nothing more –> Grim death.”

Rest in peace, Camilla!  Your crazy mind lives on!

 

1)                  In the end, it didn’t matter.   Harm

2)                  * Why aren’t we together?   Agony

3)                  At his right nipple, point.   So large

4)                  Thirty years ago.    His ego

5)                  See if a new flood comes.   Calm wind

6)                  And I don’t care, and I should.   Her lust

7)                  * Construction Area – Keep Out.    Skip

8)                  That’s my final offer.   Hymn or lies

9)                  All but guaranteed a gold.   Born

10)              * A little more liberal.   Mob

11)              You are a treasure.   Toys

12)              Surrender to God.    Sung

13)              Still satisfied.   Fade

14)              * He’s a forceful guy.    Gory clash

15)              * This romantic setting.   Ego charm

16)               * Armed struggle.   Mad lust

17)               * In tough economic times.   Hugs

18)              She got the press release out.   A plug

19)              Nobody bothers.   Shy trend

20)              Hey, sweetie!    Shy wit

21)              * Consume less – share more.   A lunch

22)              * Hippie ice cream.   Harm

23)              Someone might see me.   Night

24)              Your place is great.    Guilty cops

25)              * Are you meeting a guy?   I’m torn

26)              * The World Trade centre.   Can howl

27)              * What are my intentions?    Shy warm

28)              * Bless their hearts.    Bali

29)              * That won’t happen.    Woe

30)              * Is there something going on, though?   Rum

31)               Outdoor dogs are fine.    Fang suit

32)              * She seems really honest.   Not Mary

33)              *So he is happier there.    Tao

34)              The natural world.   How rude

35)              * Getting married.   Damn!

36)               * I suppose you want some money.   Wait

37)              * This was awhile ago.   Let go!

38)              * Emergency exit only.   Grim lot

39)              * Asking for a sign.    Fork

40)              * Ice cold Coca-Cola.   Die

41)              * And you’re on the road again.   Hit guy

42)              * So we’re still negotiating.    War

43)              * Age obsessed.   Go bad

44)              * I don’t know what he does.   I ask

45)              * A pre-nuptial agreement.    I glum

46)               Visit our auction site.   Cavern

47)               ** She was always trying to lose weight.   Run

48)               * You are a strange one.   Gutsy

49)              * The choice is ours.   Rut

50)              The place of inner perception.   Half

51)               I thought you hate the cold.   Icy glad

52)               About moving a mattress.   Give burn

53)              * What’s she to do?   Wade

54)               You are so beautiful.   By flirts

55)               * The interrogation.   Hag

56)               Skulking around.   Drag soil.   O sad girl

57)              * I was at an all time low.   Omens

58)              * It’s time to change things.   Coma

59)              ** I see rain differently too.   Sadly

60)              * Laughter.  Urge halt.  Hug later.

61)              * Renewal.    We learn

62)              This being human is a guest house.   Mob

63)              He’s healthy.   Salty

64)              * Who was in the middle?  Lost man

65)               * I am in an American empire.   Cop

66)              * Well, it won’t kill me.   Monk

67)               That’s how the light gets in.   No law

68)               Did you want a hand?   With you

69)              * Oh, that’s huge.   USA ego

70)              * What, you’re going already?   Wild hunt

71)              * What did they say?   Wise

72)              * Nothing is sure.   Hurt ego

73)              * How does she do it?   Wit

74)               *She taught hatred.   Drugs

75)               And we made him a song.   Go wish

76)               Well, I get determined sometimes.   Grown

77)              * Oh, dear lord.   Heal

78)               It’s got to be easier.   Grab, brag

79)               * It doesn’t really work.   Kind way

80)               That held him together.   Loud grim

81)              * Still, it hurt.   Rush

82)               Suspense.   Sees puns

83)              * Wow, we’re sweating.   At groins

84)               When we’re cleaning.   Rich gal

85)               It’s not a big grant.  Robs

86)              * One is in a prison.   Rape

87)              * He took off for the winter.   Wink

88)              * How was your weekend?   A shy drunk

89)              * Needing drama.   Grim

90)              * This isn’t happening.   Age

91)               Where they were too irritating.   Yang

92)               I didn’t mean to go for so long though.   Far mules, slum fear

93)              * That’s right; you’re really into that.   Gun

94)               Which was pretty cool.   Lies pray

95)              * Oh, I hope it doesn’t happen.   Sad

96)              * He won’t come to my place.   Why plan?

97)              *This is their destination.   Road

98)              * I love Iranians.   Lovers

99)              * She’d had a tough life.    Soul gift

100)           Guess who I ran into?   What urge

101)          * He was furious.   I fear how

102)           Now I need to hold babies.   Shawl

103)           Anything within reason.   Wry egos

104)           Keep the promise, China.   Mock rants

105)           And a little blurb about it.   Drone

106)          * Pull your weight.   Why ego trip?

107)           Well, it’s my reality.   Swarm, warms

108)           Eastern Europeans.    Pout

109)           It’s true, though.   Go rise

110)           The one who died.   Twin

111)           Did he know her as well?    No risk

112)           They’re tolerating it.   holy nag

113)           Please open slowly.   Yawn

114)          * They died instantly.  Lash

115)          * Where does it end?  Torn wish

116)          * It is only money.   Melts

117)          * This guy is my soul mate.   Go heal

118)           They get arthritis.   Gays

119)          * We want it a certain way.   Cry

120)          * Bohemian stubbornness.  I am hurt.

121)          * So there really wasn’t one.   Why?

122)          * Not a girlfriend.   Golf date

123)           It’s so difficult.  Cloud

124)           Only a few days.  Flow ends

125)          * The changing force of Canada.   Do it

126)          *She scares me.  March, Charm

127)           We weren’t sure.   Nuts

128)          * The long-awaited news.   His gold

129)           You are a strong man.   My guest

130)           Dread Canadian punctuality.   Reply

131)           So what’s happening?   Ego wit

132)           We can get you there.  A hungry cow

133)           And as we gather today.   Grown shy

134)          * It is used as testimony.   Damn you!

135)           Do you like his art?  Heard lusty

136)          * She tries really hard.   Tidy

137)          * No, please – I insist.   A plot

138)          * Beggar’s business.   A ruin

139)           So he sent her off alone, I think.   Lark

140)           And she told you this already.   Ruin

141)           Where shall we stay?   Try

142)           * Pretty strong stuff.   Puny ego

143)          *Writers on writing.   Egos

144)           How we going to celebrate though?   In a club

145)          * Great for her health.   Golf

146)           Yeah, like he really cares.   Sick

147)          * It is so not me.   Men

148)          * Magnificent migration.   Force

149)          * Don’t be so stubborn.   Rude

150)          * Oh god, he needs so little.   Gin

151)           I don’t like you anymore.    Drum talk

152)          * So that doesn’t work.   When dark

153)          * In this romantic setting.   Ego charm

154)          * Sitting alone in my room.   Sly rage

155)           We look a lot alike.   Wit

156)           Wear it as long as you can.   Guilty crew

157)           Ideal tourist.   Also rude, Dear soul, sour deal

158)           * Prodigal daughter.   I help out

159)          * Talk about obese.   Sulk

160)           He doesn’t have any visitors.   Dry

161)          * Yeah, it was intense.   Why?

162)           We aren’t what we think we are.   Ki

163)          * Is there any money in it?   harms

164)          * It cures what ails you.   Holy crew

165)          * Much criticism.   Hurts

166)          * Hi – can I come in?   A home

167)           Student housing.   Go hide

168)           Mediterranean sea salt.   Mild

169)           * I need to get out of myself though.   Sly mind

170)           It’s really interesting.    Gay

171)           * How do we end this?    Snit

172)          * Nothing stops her.   Gripe

173)           Well he’s a young man now.   Shy mug

174)           Are you willing to go there, though?   Yawn

175)          * Take me in your arms.   You stink

176)          *A hiatus hernia.   Unrest

177)           * It was what I wanted to do day and night.   Yes, go!

178)           * Bad teeth.   Hate debt

179)          * I will never leave you.    I warn

180)          * Important sounding.   Sad grump

181)          * That greedy little thing.   Randy

182)           Weird and intense.   Warts

183)          * I chose the path, that is.   Cop

184)          * What a great way to start the day.   Gods

185)          * I’m not going anywhere.   My wrath

186)           * Dad can’t stand arrogance.   Egos

187)           Have you got everything?   A ruin

188)          * Totally ridiculous.  A sad cry

189)           * Right on the money.   Grimy

190)          *And it cannot be touched by anything.   Bug

191)           That creates different challenges.    Dig

192)           Dad, he’s being humble.   A glum sin

193)          * So, what’s happening with it?   Ego

194)          * Thoughts subside.    I beg

195)            * I’ll keep asking.   Pangs

196)           Honestly, you are so weird.   A wild hunt

197)           For a moment, I forgot.   Gain

198)          *Hello, sweetie.   Show it

199)           *Oh he doesn’t want my pity.  Sad wimp

200)           *Gemini, the scariest sign.  Charm

201)          *To stop the bully.  Be pushy

202)           *They don’t sit together or anything.  Sad

203)          *What I will miss.  Math

204)           What matters most.  Whore

205)           To survive and flourish.  Left hand.

206)           I vividly remember as a boy.  Sold

207)          *In my heart it will remain.  Why?

208)           So here we all are.  Show

209)           The yellow star means death.  Word Hymn.

210)          *You want to count on her.  Why care?

211)          *There is an erotic charge.  Song

212)          *It would be so sweet.  Build

213)           Do people use it?  I’d lust.

214)           Wow, what a team.  Home

215)           I had a pretty good day.  Gripe

216)          *No, it’s got to go.  Sin

217)           No-one left to torture.  Flu

218)           In Northern Ireland.  Do halt

219)           I need some rest.  Mind rot

220)           How was your time away?  Rush time

221)          *No reason to be.  Brats

222)          **About being older.  Darn guilt

223)           You hear yourself.  Flash

224)          *Another guy.  Any hurt ego

225)           Show me right now.  Men’s grit, grim nest

226)           It would be too weird.  Blur

227)            I want to know what’s the matter.  Smirk

228)          **Oh god, I am so tired of you.  My fears

229)           **They are up to something.  A grumpy sin

230)          **He’s really smart.  Myth

231)          *The last thing on my mind.  Yes, a gold.

232)          *We will at least go into that area, though.  Ruins

233)          *Yeah, she’s a sweetheart.  Wry

234)          *What did you decide?  Watch

235)           No, this is the thing.   Ego

236)          *Engage all of your senses.  Fury

237)          **You are so ticklish.  Lucky heart

238)          *Is she all right?  Great

239)          *In front of all his friends.  Death

240)           **My warrior woman.  Yin

241)           A momentary thing.  Hairy ego

242)           To where the real power is.  A slip

243)          *So there you go.  Try hugs

244)          *If you guys are going in.  Safer

245)          *Ah, he’s a sweetie.  Wit

246)           There is nothing wrong with pain.  Spa

247)           What’s happening now?  Sit, ego

248)           He’s got church.   Ego rust, sore gut

249)          *We both turned the wrong way.  Bad guy

250)           He’s in India right now.  Water gods.

251)          *This is so great.  Go hear.  Oh rage!

252)          *We’ll have to see.  How vast

253)          *But I didn’t tire of it.  Fun bore

254)           We are people living happy lives.  Grown shy

255)           I wish I had a kind mother.  Know terms

256)           It does itself.  Fold

257)           We did the online thing.  Glow

258)          *And here we’re gathered together.  Now

259)           What’s left to fit in?  New halos

260)           So why are you telling me this?  Warm gun

261)          *It’s not for free.  Sin

262)          *It is so gorgeous.  True

263)          *He won’t be by.  Why not?

264)          **Untreated disease.  Ruin

265)          *Oh, I got distracted.  Go search

266)          *I’m seeing him tonight.  So?

267)           One last little warning.  Grows

268)          *He’s got things to do.  Dine

269)           One of the Iranian refugees.  Thugs

270)           I thought of it first.  Urges

271)          *I know we need to talk.  Dial

272)          *I try not to worry.  Win

273)           Of the four cardinal directions.  Lush

274)           The gang last night.  Lies

275)           Your little family.  Our fame

276)          *That’s my home in Canada.  Icy dose

277)           *She must be a really unhappy person.  Tomb

278)           I am single now.  Slow game

279)          *One of the clinchers.  Flirts

280)           Let’s go catch him.  A slim ego

281)          *Her sister is really ugly.  A thug

282)          We are in unity against you.  Grows

283)          *Well, we will soon.  Sin

284)           He can’t let go.  Clan hog

285)           My way or the highway.  Trim ego, git more

286)          *He’s my hubby.  Muse

287)           As he has said.  Die

288)          *Sadness around my family.  Our life

289)           When we’re ready.  Handy

290)           Oh, he’s really into yoga.  String

291)          Through meditation.  Damn urge

292)          **That was my generation.  Why so grim?

293)          When they were hungry.  Gut

294)           Raw food diet.  Fit ware

295)           For anything in your life.  Heal gut

296)          **Feels stressful.  Rut

297)          We’ll do some business.  Dumb win

298)          *Tell me the truth.  Rum

299)          *Then we were laughing so hard.  I do lust

300)           Too philosophical.  Cats

301)           Do I want it or not?  Draw

302)          **And she’s still doing it.  Oh, age

303)           I don’t need to be broke.  Irk

304)          *Oh, I adore him.  Dream

305)           Around that stupidity.  Shy porn

306)           What’s the prognosis?  Pain grew

307)          **That is my big terror.  Bash my ego

308)          *Catholic school was great.  I grew

309)          *The institute.  Shun

310)          *Make me look good.  Glad

311)          *Oh foolish heart.  Lust fire, sea flirt, farts lie

312)           *Let’s do my death right.  Glory aims

313)           We’re not related by blood.  Yawn

314)           Many arguments ensue.  Try

315)          **That’s all he’s got.  Ego

316)          *A ton of money.  My fate

317)           Are you not going to ask him?  He’s murky

318)          *Young and obese.  Bad guys

319)          *Die this horrible death.  A slob

320)          *The ultimate punishment.  Slap

321)          *Probably by bike.  Like a pro

322)          **The lifestyle.  Fishy

323)          **I don’t know what to say.  A shy kid

324)          Your body heals itself.  If hurt bad

325)          *Hippie ice cream.  Harm

326)          **Needing drama.  Grim

327)          **This isn’t happening.  Age

328)          *He was furious.  I fear how.

329)           Guess who I ran into.  What urge.

330)           *That’s true, go later.  Oh, slug.

331)          *And get the therapy you need.  Group

332)          *She’s a good girl.  Hard lie

333)           A shared house.  Dour

334)          *I am so frustrated.  I do fume

335)           The changing times.  Scam

336)           I can’t stand those kids.  Choke

337)          *And you’re in Asia already.  Soul

338)          *She got her way.  ‘Twas  gory

339)           How’s work going?  Shrink

340)           Off to Tatiana’s.  Sin

341)          *Accessible.  Bali

342)          *This is a Tibetan singing bowl.  Whole

343)           Wow – he’s in good shape.  Pain

344)           And it went where it went.  Hard

345)           Is that the usual?  Lie

346)           I do adore him.  Harem

347)          *That’s not that big a deal.  Blind egos

348)          *I need the stimulation.  Loud sham

349)           *May my spirit be reborn.  No past

350)          *When you come to a new country.  Harm

351)          *He read the writing on the wall.  God

352)          *That is the only thing.  Slay ego

353)           She had an accident.  Sit

354)           *It sure is!  True

355)           She’s going the opposite way.  Yawn

356)          *Well that’s a good sign.  He’d win

357)          *What women want.  Home

358)           *Why would I do this?  Lusty

359)          *Diets are hard.  Shit

360)           No, I don’t snore.  I’d rest

361)           Try it out for yourself.  Lies

362)           He really had it.  Dirty

363)          **You are no longer a refugee.  Fly

364)          *Singing in the rain.  Hearts

365)          *Probably the Himalayas.  Some trip

366)          *Like-minded people.  Monk

367)           A book signing.  Bask

368)          *Oh don’t do that to me.  Mean

369)           *Maybe he was bi.  My wish

370)          *What do we do?  Hate

371)           A son and daughter.  Hurt egos

372)          *You ain’t going nowhere.  Why a rut?  Hurt way

373)           My mind – I am so out of it.  Fun days

374)          *Is it getting worse?  Worn

375)          *Sudden old age.  Soul nag

376)          *So don’t keep asking.  Apt dig

377)          *This death diagnosis.  Gone

378)          *Comparing prices.  Man’s ego

379)           Yeah, he’s the only one.  Last

380)           People are scared.  Scold

381)          *I have been very busy.  In a rush

382)          I was at an all-time low.  Omens

383)          *So I have lived dangerously.  Hungry

384)           Fighting for dear life.  Hot land

385)          That is not happening.  Egos

386)          *That’s their present.  Pain

387)          *Dissatisfied.  Fate

388)          *That’s where it ended.  In wars

389)           He also had bladder cancer.  Sob

390)          *Stop the war. Raw hopes

391)           Kind of like you.  Fly nude

392)          *Adversarial.  Devils

393)          Was that the way?  Yes

394)          *What is there to gain?  Wrongs

395)          *Oh I hadn’t really noticed that.  Cry

396)          *Interesting thought.  Sour

397)          There’s no strength there.  Go

398)          *And then she died.  Sati

399)           Listen to your body.  Blind ruse. Rules bind.  Blind user

400)          *It’s all a rip-off.  Sport

401)          I’ll buy you dinner.  Bored

402)          Did you say anything to her?  Urges, surge

403)          And her food is good.  Fresh gain

404)          *I re-married.  Mad

405)          I hope you understand.  Pray this

406)           *Butter tarts.  Abuse

407)          That was really scary.  Chew

408)          Lots of ideas.  Die flat, daft lie, fit deal

409)          **What was wrong with you at thirty?  Guns

410)          Instant credit.  Sacred

411)          One more chance.  Harm

412)          *Who was that voice?  Vices

413)          *He has denied wrongdoing.  Wars

414)          Learning to let go.  Air

415)          *They’re royalty.  Halo

416)          *He was starting to talk like that.  Wrong

417)          *You are my mentor.  Aunt

418)          He’s so intelligent.  Hog

419)          *I trained in it.  Dare

420)          *That’s her spot.  Power

421)          She’s a mess. Ham

422)          Anything for a laugh.  Flirt

423)          He had a dog.  Ego

424)          *And then what?  Wed

425)          *Oh restless soul.  Hurt

426)          I started last year.  Idly

427)          I don’t want any bad blood.  Idly

428)          *Oh dear Lord.  Heal

429)          It’s pretty intense.  Pry

430)          **The horrors of war.  Waste

431)          *Otherwise, who am I?  Smart

432)          Certainly, contemporary commentary.  Lip

433)          There it goes again.  Horns

434)          *All that effort.  Hero

435)          A sense of belonging.  Bali

436)          *I owe you guys an apology.  Wise plan

437)          And then he’s depressed.  Trap

438)          *Stop the war within.  Persona.  No rapes.

439)          And I entered a new world.  Toil

440)          *To feel so desired.  Flirt

441)          Controlling the situation.  Age crush, cash urge

442)          This is not my place.  Echo my plan

443)          Oh, a real after-thought.  Gulf

444)          *Oh Dad, I think I made a mistake.  Son

445)          Nobody was even over thirty.  Bad wish

446)          That is so worth it.  Raw, War

447)          *Oh, I didn’t get into that.  Age

448)          *All this suffering.  Rage hunt, Heart Gun

449)          And it may be in a different form.  Boy

450)          It seemed to me I did.  So

451)          That’s not your style.  Run Heal

452)          *And how was the rest of your day?  Fun

453)          Be faithful and honest.  Soul bid, Soil bud

454)          I wasn’t being listened to.  Bad glow, blog wad, bold wag

455)          *That’s his thing.  Nag

456)          All the detail.  Hid

457)          It might be contagious.  Same bunch, numb chase

458)          That’s one way to take it.  Why sink?

459)          So many economic worlds.  Wild year.

460)          Ah thanks, sweetie.  Wink

461)          No resonance.  Scar

462)          To face my fears.  Most cry

463)          Oh well, that’s great.  Grows

464)          Where can you count on that? Wry

465)          She’s not a happy person.  Try

466)          The ultimate minimalist.  Shun

467)          This is what I get.  Wage

468)          Anything could happen.  Guilty code.

469)          Oh god, all their dogs.  I stare

470)          She doesn’t miss a thing.  Go mad

471)          I have to do this.  Saved

472)          That has not stopped.  End

473)          Trying to stay cool.  Girls can

474)          Surrender to god.  Stung

475)          Who do we think we are?  Kid rant, kind art

476)          Which was all totally okay.  Sick

477)          I sat down and wrote.  Rise

478)          Oh I adore him.  Dream

479)          This park makes me happy.  I try

480)          I don’t want to eat alone.  Wild

481)          You’re lonely.  Run

482)          The system offers me nothing.  Grimy

483)          Suspicious.  Cop

484)          Okay, but I’m a kid.  Dumb toy

485)          An old-fashioned man.  Himself, I’m flesh

486)          No more drama.  End

487)          That was so thrilling.  Wrong

488)          There is only one Italy.  Rash

489)          A son and daughter.  Hurt egos

490)          You were on my list to email.. Warn us

491)          He wasn’t cool enough.  Cult swag

492)          So why am I writing you?  Hamstrung

493)          So it was a trade-off.  Weird

494)          He dropped to the ground.  Gun

495)          The nature of poets.  Sharp fun, Harp’s fun

496)          What is wealth?  Lies

497)          That’s it, I want to settle in.  Howl

498)          Anything could happen.  Guilty code

499)          All I really want.  Try wine

500)          Inappropriate.  Tone

501)          And so honest. Death

502)          So honest.  Then

503)          Steal that guy.  He’s ugly

504)          What did you decide?  You watch

505)          All the little things.  Nags, snag

506)          *To get strong again.  Rise

507)          I am drinking you in.  A murky god.

508)          They’re young guys.  Thorns

509)          After that week of heat.  Work

510)          What about the writing?  Burn ego

511)          And how does it end?  Aw shit, what is

512)          I wonder if we can do it.  Craft

513)          Charging him interest.  Scam

514)          Let’s get together for a drink.  Kind flash

515)          I’m going through something.  Sure, ruse

516)          I am going to feel something.  Flash

517)          I hear you honey.  A ruin

518)          ? Very sweet and lovely.  adnorstw

519)          ? The highlight of my summer.  Sour fly, soul fry

520)          I need to know what he has to do.  Ski

521)          Oh what happened to this?  Winds

522)          What’s happening legs?  Wilt

523)           First thought.  Sour fig

524)           She ignored that.  Road sign.

525)           Hey military guy.  Glum heart

526)            He was fighting in front of the lawyer.  Sly

527)            Do I want to survive?  Sure wand, dawn ruse

528)            Lots of seals. Fate

529)            Which is a nice security.  Wry aunt, yawn rut

530)            *That’s a good thing to do.  Sin

531)            She has said that.  Die

532)            Contemplation time.  Clap

533)            That is to be really ethical.  Sob, cry

534)            I am freed from dashing around.  Gush, hugs

535)            But study it seriously.  Be lord

536)            It’s what she likes.  Walk

537)           And then he died alone.  Toil

538)            A rich bitch.  Brat

539)            What is your book about?  Why risk?

540)            This made me think of you.  Sad funk

541)           And what was I doing?  Ghost

542)           Ready to eat food.  Fry

543)            The most important thing.  Grapes

544)            They’re really unpleasant.  Push

545)           I still have enough leg strength.  Savour

546)           What’s the reasoning?  Grow

547)           I think it’s not likely.  Oh yes

548)           What’s going on in there?  Wars

549)            Toronto Fire Station.  Safe

550)            That is the only thing.  Slay ego

551)           That’s not what I heard. Doers win.

552)           I ain’t young anymore.  Get rum

553)            Oh it was awful.  Foul shit.

554)            And I’ll deal with it.  When?

555)            It’s a strong one.  I rage

556)            You’re not concerned.  Duty

557)            * I’m an old woman.  Wild

558)            When they are worst.  Say no

559)            ? Only boring people get bored.  Dirty

560)            ? They’re hard-nosed.  O nasty

561)            ? Singing in her own language.  Low rush

562)            Is her health still good?  Drag

563)            Did it hurt him?  Rum

564)           ** I need to transform myself.  Daily

565)           * You’re a bad boy.  Rude

566)            Why doesn’t she do that?  Yawn

567)            Oh that hurt me so much.  Scare

568)            Then he had another relapse.  Plods

569)            Why did I get weak legs?  Shy talk

570)           * Mostly I want to heal.   Wise hymn

571)            Don’t think that it’s doing nothing.  Ask

572)           * I ain’t going nowhere.  Wrath

573)            That twisted me.  Mad wish

574)           * A nation divided.  Vote

575)           ** My money is going fast.  Fate

576)           **I decided to bite the bullet.  Ouch

577)            He seems so happy with people.  May wilt

578)            That has not stopped.  End

579)            For a limited period of time.  Pal

580)            Both signs of being healthy again.  Fly

581)            One million dollars.  Dreams

582)           Oh no, his health is terrible. Ban

583)           Oh, I hadn’t really noticed that.  Cry

584)           *Oh god, I hope I don’t lose it all. Pang

585)           What happened to her?  Drown

586)            What went wrong?  Oh rage, go hear

587)           What has gone wrong?  Rest

588)           *I am not going there.  Harm

589)            Do i want it to not work?  dark

590)           Grandma’s natural remedies.  Guilt

591)           I’m afraid of my family.  Lord

592)            That was the sweetest gift.  Fig

593)            What’s there?  Wars

594)            And what’s the mom like?  Slow, kind

595)            It’s not a panic.  Cops

596)           I had coffee today,  Itchy

597)           You’re in the hot seat.  Say ruin

598)           *Letting out emotion.  Glum

599)           No, I had an accident here.  Rot

600)            My legs are killing me.  Snarky

601)           That people are at war.  Howl

602)           I do the same thing.  Mad song

603)           *Oh god, don’t do that to me.  Game

604)           How are we to understand you? Shy

605)           *Saint Paddy’s Day.  Pint

606)           *Like a lot of fathers. Shirk

607)           I knew it was wrong. Stark ego

608)           *You use people. Sly

609)           Oh, don’t do this to me.  Mines

610)           Strength and surrender.  A hug

611)           *What should I do?  Lawsuit

612)           *Well, I knew you were a long shot.  A risky thug

613)            * The planet needs help.  Sad

614)           Who’s going to want winter?  Rash

615)           You’re lonely. Run

616)           What is the other choice?  Wars

617)           And nothing more.  Grim death

618)           Maybe it’s really subtle.  Rumi

619)

620)

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622)

623)

624)

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Announcing the GGGT of Scandinavia

I did not take a Great Grand Genealogy Tour (GGGT) last year because we’ve been saving up and planning for this year’s — the GGGT of Scandinavia!  We are taking this particular tour now in honor of my grandfather, Warren.  He is my oldest grandparent, and this is the only place where his ancestors lie outside of America.  Grandpa is generously sponsoring a good portion of our travel expenses in exchange for enjoying this adventure vicariously through us!

Warren’s grandparents were all born in Scandinavia:  His father’s father, Ole Hanson Fagerland, was born in Rogaland County in southern Norway.  His father’s mother, Mary Johannsdotter-Fagerland, was born in Kronoberg County, Sweden.  His mother’s father, Anders Andersen, was born in Nordland County in northern Norway.  His mother’s mother was born in Oppland County in central Norway.  We will be making an ambitious two-week loop through all four counties.  Time only permits us one day each in Nordland, Oppland, and Kronoberg Counties.  We will have three or four days to spend in Rogaland County.  The rest of our trip will be spent in transit, cruising up the coast, and resting in Oslo and Copenhagen.

I have marked several genealogical points of interest in the map.  Green pins mark homes, and red pins are churches and cemeteries.  (There are also a few purple pins for logistical points of travel).  Feel free to zoom in and browse these points.  If you are familiar with any of these areas, please contact me with information or recommendations!

Updates will follow.  I plan to make a photobook of the trip as I did for the GGGT’s of 2014 and 2015.