In America, the average mortality rate of COVID-19 is around 0.5% of lower. Some third world countries are as high as 1%-1.5%. But it’s no where near the the 2-3% most of the so called “experts” were predicting back in March. This is of course a good thing. The corrupt World Health Organization for example predicted an average mortality rate of 3.4%. Again, not even close to the actual numbers so far. As the days go by, and we learn more about COVID-19, the percentage of those dying from the China virus will likely drop, rather than increase, unless of course you fudge the numbers like New York is doing.
| New data suggest coronavirus isn’t as deadly as the ‘experts’ thought |
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The Covid-19 shutdowns have been based on the premise that the disease would kill more than two million Americans absent drastic actions to slow its spread. That model assumed case fatality rates—the share of infected people who die from the disease—of 1% to 3%. The World Health Organization’s estimated case-fatality rate was 3.4%.
Some experts—including in these pages—have questioned this assumption. They argue that known cases are likely only a small portion of the true number of infections, and thus high case-fatality rates could be off by orders of magnitude. We don’t know what portion of infections have gone undetected for a lack of tests, restrictive qualifications to get tested, and a potentially large incidence of mild illness or asymptomatic infection.
New data support the skeptics’ view—a preliminary study by a Stanford team, released Friday. They conducted a seroprevalence study of Santa Clara County, Calif., on April 3 and 4. They studied a representative sample of 3,300 residents to test for the presence of antibodies in their blood that would show if they had previously been infected with the novel coronavirus.