Perspectives on the Pandemic Episode 1: Dealing with Coronavirus, a fiasco in the making? As the coronavirus pandemic takes hold, we are making decisions without reliable data.
Watch episode 2 here: https://youtu.be/lGC5sGdz4kg
And, episode 3, here…
Perspectives on the Pandemic Episode 1: Dealing with Coronavirus, a fiasco in the making? As the coronavirus pandemic takes hold, we are making decisions without reliable data.
Watch episode 2 here: https://youtu.be/lGC5sGdz4kg
And, episode 3, here: https://youtu.be/VK0Wtjh3HVA
Interview highlights:
00:50-Dr. Ioannidis summarizes his article titled “A fiasco in the making? As the coronavirus pandemic takes hold, we are making decisions without reliable data” (linked below)
03:47-The truth about COVID-19’s death rate
06:21-What makes COVID-19 different than the Swine Flu
08:43-How do we get accurate data on COVID-19?
09:47-The Diamond Princess Cruise Quarantine
15:12-Should everyone be tested?
16:47-Italy & COVID-19
23:06-Is self-isolation the best cure?
27:06-Medical supplies shortage in New York
29:48-But wait, what is a coronavirus?
34:00-What is this pandemic’s outcome?
36:26-Identifying COVID-19 cases
38:59-Why is COVID-19 putting a stress on the medical system?
41:22-The “New Normal” in the face of COVID-19
43:36-Is the cure worse than the disease?
46:55-Are we over-preparing for the affects of COVID-19?
47:55-The role of politics in the United States’ COVID-19 response
49:23-Are the current isolation orders creating a bigger problem?
52:20-High risk populations
53:39-Biases in our COVID-19 response
56:11-The World Health Organization’s role
57:40-What can we learn from this pandemic?
1:01:33-How long will the COVID-19 lockdown last?
Dr John P.A. Ioannidis is a professor of medicine and professor of epidemiology and population health, as well as professor by courtesy of biomedical data science at Stanford University School of Medicine, professor by courtesy of statistics at Stanford University School of Humanities and Sciences, and co-director of the Meta-Research Innovation Center at Stanford (METRICS) at Stanford University.
See his thoughts in writing here:
https://www.statnews.com/2020/03/17/a...
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