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re: Covid 19: misunderstandings in statistics, ascertainment bias (more testing= more "cases")

Posted on 3/23/20 at 8:28 pm to
Posted by ThinePreparedAni
In a sea of cognitive dissonance
Member since Mar 2013
11099 posts
Posted on 3/23/20 at 8:28 pm to
https://www.latimes.com/science/story/2020-03-22/coronavirus-outbreak-nobel-laureate

quote:

Why this Nobel laureate predicts a quicker coronavirus recovery: ‘We’re going to be fine’

By JOE MOZINGO STAFF WRITER MARCH 22, 2020 2:03 PM Facebook Twitter Show more sharing options Michael


quote:

Michael Levitt, a Nobel laureate and Stanford biophysicist, began analyzing the number of COVID-19 cases worldwide in January and correctly calculated that China would get through the worst of its coronavirus outbreak long before many health experts had predicted. Now he foresees a similar outcome in the United States and the rest of the world. While many epidemiologists are warning of months, or even years, of massive social disruption and millions of deaths, Levitt says the data simply don’t support such a dire scenario — especially in areas where reasonable social distancing measures are in place. “What we need is to control the panic,” he said. In the grand scheme, “we’re going to be fine.”


quote:

Getting vaccinated against the flu is important because a coronavirus outbreak that strikes in the middle of a flu epidemic is much more likely to overwhelm hospitals and increases the odds that the coronavirus goes undetected. This was probably a factor in Italy, a country with a strong anti-vaccine movement, he said. But he also blames the media for causing unnecessary panic by focusing on the relentless increase in the cumulative number of cases and spotlighting celebrities who contract the virus. By contrast, the flu has sickened 36 million Americans since September and killed an estimated 22,000, according to the CDC, but those deaths are largely unreported. He fears the public health measures that have shut down large swaths of the economy could cause their own health catastrophe, as lost jobs lead to poverty and hopelessness. Time and again, researchers have seen that suicide rates go up when the economy spirals down.


quote:

While the COVID-19 fatality rate appears to be significantly higher than that of the flu, Levitt says it is quite simply put, “not the end of the world.” “The real situation is not as nearly as terrible as they make it out to be,” he said.
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