GoodTaste
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Does "know" here mean "should know"? It implies that the commentor thinks those who tout this author's expertise are not lacking some necessary knowledge. Am I correct?
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For those touting this author’s expertise, know there are others with greater experience indicating otherwise. The author uses 1918 as a reference, so note Frank Macfarlane Burnet (more knowledgeable about influenza than this author ever will be) indicates the actual death toll from influenza was much higher, and that these viruses can mutate and come in multiple waves- the second wave in 1918 was far deadlier.
This author fails to take that into consideration, as well as the contagion factor. Th fact that COVID19’s viral shed factor is 1,000 times greater than influenza, and it’s peak shed is during incubation when many times there are no symptoms (as opposed to influenza, which peaks after it settles into the lungs).
The above is a comment from the source below.
Source: from Stat News
John P.A. Ioannidis is professor of medicine, of epidemiology and population health, of biomedical data science, and of statistics at Stanford University and co-director of Stanford’s Meta-Research Innovation Center.
https://www.statnews.com/2020/03/17/...reliable-data/
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For those touting this author’s expertise, know there are others with greater experience indicating otherwise. The author uses 1918 as a reference, so note Frank Macfarlane Burnet (more knowledgeable about influenza than this author ever will be) indicates the actual death toll from influenza was much higher, and that these viruses can mutate and come in multiple waves- the second wave in 1918 was far deadlier.
This author fails to take that into consideration, as well as the contagion factor. Th fact that COVID19’s viral shed factor is 1,000 times greater than influenza, and it’s peak shed is during incubation when many times there are no symptoms (as opposed to influenza, which peaks after it settles into the lungs).
The above is a comment from the source below.
Source: from Stat News
John P.A. Ioannidis is professor of medicine, of epidemiology and population health, of biomedical data science, and of statistics at Stanford University and co-director of Stanford’s Meta-Research Innovation Center.
https://www.statnews.com/2020/03/17/...reliable-data/