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New Data Suggest the Coronavirus Isn’t as Deadly as We Thought
A study finds 50 to 85 times as many infections as known cases—meaning a far lower fatality rate.
www.wsj.com
......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.
The researchers found that the percentage of infections was indeed vastly larger than the roughly 1,000 known positive cases in the county at the time of the study. The preliminary results—the research will now undergo peer review—show that between 2.5% and 4.2% of county residents are estimated to have antibodies against the virus. That translates into 48,000 to 81,000 infections, 50 to 85 times as high as the number of known cases.
That may sound scary, but it’s great news. It suggests that the large majority of people who contract Covid-19 recover without ever knowing they were infected, and that the U.S. infection fatality rate may be more than an order of magnitude lower than authorities had assumed. Based on this seroprevalence data, the authors estimate that in Santa Clara County the true infection fatality rate is somewhere in the range of 0.12% to 0.2%—far closer to seasonal influenza than to the original, case-based estimates......
......Yet if policy makers were aware from the outset that the Covid-19 death toll would be closer to that of seasonal flu than the millions of American deaths predicted by early models dependent on inputs that now look inaccurate, would they have risked tens of millions of jobs and livelihoods? The science to support better modeling and decision making is rapidly becoming available. One hopes that it will inform better policy decisions.
www.medrxiv.org
A study finds 50 to 85 times as many infections as known cases—meaning a far lower fatality rate.
Opinion | New Data Suggest the Coronavirus Isn’t as Deadly as We Thought
A study finds 50 to 85 times as many infections as known cases—meaning a far lower fatality rate.
www.wsj.com
......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.
The researchers found that the percentage of infections was indeed vastly larger than the roughly 1,000 known positive cases in the county at the time of the study. The preliminary results—the research will now undergo peer review—show that between 2.5% and 4.2% of county residents are estimated to have antibodies against the virus. That translates into 48,000 to 81,000 infections, 50 to 85 times as high as the number of known cases.
That may sound scary, but it’s great news. It suggests that the large majority of people who contract Covid-19 recover without ever knowing they were infected, and that the U.S. infection fatality rate may be more than an order of magnitude lower than authorities had assumed. Based on this seroprevalence data, the authors estimate that in Santa Clara County the true infection fatality rate is somewhere in the range of 0.12% to 0.2%—far closer to seasonal influenza than to the original, case-based estimates......
......Yet if policy makers were aware from the outset that the Covid-19 death toll would be closer to that of seasonal flu than the millions of American deaths predicted by early models dependent on inputs that now look inaccurate, would they have risked tens of millions of jobs and livelihoods? The science to support better modeling and decision making is rapidly becoming available. One hopes that it will inform better policy decisions.
COVID-19 Antibody Seroprevalence in Santa Clara County, California
Background Addressing COVID-19 is a pressing health and social concern. To date, many epidemic projections and policies addressing COVID-19 have been designed without seroprevalence data to inform epidemic parameters. We measured the seroprevalence of antibodies to SARS-CoV-2 in Santa Clara...
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