Finally. Somebody stating what is obvious to me. From The Hill:
John Ioannidis, a Stanford epidemiologist who is famous for debunking bad research, has been pushing for it. He told me that random sampling is needed and could be done with a couple of thousand tests. When I told him that I previously worked in the polling industry, he put it in terms that resonated with me. He said, “Random representative testing is like polling. We run thousands of opinion polls in this country. We should similarly get a representative sample of the population and get them tested. It is just so easy.â€
A recent television interview with Anthony Fauci, director of the National Institute of Allergy and Infectious Diseases and member of the White House Coronavirus Task Force, underscores the need. After estimating that 100,000 to 200,000 Americans could die of the coronavirus, he said that projections are a “moving target†and that models are “only as good and as accurate as your assumptions.†But how good are models if the data is insufficient?
Ioannidis warned of a potential evidence fiasco in a recent op-ed for Stat. He wrote, “The data collected so far on how many people are infected and how the epidemic is evolving are utterly unreliable. Given the limited testing to date, some deaths and probably the vast majority of infections due to SARS-CoV-2 are being missed.â€
Eran Bendavid and Jay Bhattacharya, also professors at Stanford, echoed that concern in The Wall Street Journal, writing, “The true fatality rate is the portion of those infected who die, not the deaths from identified positive cases.†They speculate that due to how infectious the coronavirus appears to be, and because tens of thousands of people traveled from Wuhan to America in December, millions of Americans could have been infected.
Random sampling will tell us what percentage of the population has the coronavirus and its lethality. Only testing the very sick skews mortality rates and leaves us in the dark about how many Americans are unknowingly walking around asymptomatic or with mild symptoms. Looking at other countries’ data also has its challenges; age structures, climate differences, quality of health care systems and testing all vary.
New York State has administered nearly a quarter million COVID-19 tests, by far the largest number per 1M population of any state. Nearly two-thirds of its cases are in the counties surrounding New York City. Administering just a few thousand of those tests to a random sample of people in the Bronx, Queens, Manhattan, Kings County, etc. would have probably been more productive than the vast majority of those tests. Epidemiological testing is long overdue.
I have a question for physicians. In the absence of a treatment for COVID-19, how does testing a patient with the symptoms of COVID-19, change how you treat that patient? I doubt that it actually does. I think the same supportive care would be provided, as available, whether the test was positive or negative.







