Dr Joel Kettner s professor of Community Health Sciences and Surgery at Manitoba University, former Chief Public Health Officer for Manitoba province and Medical Director of the International Centre for Infectious Diseases.
I have never seen anything like this, anything anywhere near like this. I’m not talking about the pandemic, because I’ve seen 30 of them, one every year. It is called influenza. And other respiratory illness viruses, we don’t always know what they are. But I’ve never seen this reaction, and I’m trying to understand why.[…]
I worry about the message to the public, about the fear of coming into contact with people, being in the same space as people, shaking their hands, having meetings with people. I worry about many, many consequences related to that.[…]
In Hubei, in the province of Hubei, where there has been the most cases and deaths by far, the actual number of cases reported is 1 per 1000 people and the actual rate of deaths reported is 1 per 20,000. So maybe that would help to put things into perspective.
Dr John Ioannidis Professor of Medicine, of Health Research and Policy and of Biomedical Data Science, at Stanford University School of Medicine and a Professor of Statistics at Stanford University School of Humanities and Sciences. He is director of the Stanford Prevention Research Center, and co-director of the Meta-Research Innovation Center at Stanford (METRICS).
He is also the editor-in-chief of the European Journal of Clinical Investigation. He was chairman at the Department of Hygiene and Epidemiology, University of Ioannina School of Medicine as well as adjunct professor at Tufts University School of Medicine.
As a physician, scientist and author he has made contributions to evidence-based medicine, epidemiology, data science and clinical research. In addition, he pioneered the field of meta-research. He has shown that much of the published research does not meet good scientific standards of evidence.
What he says:
Patients who have been tested for SARS-CoV-2 are disproportionately those with severe symptoms and bad outcomes. As most health systems have limited testing capacity, selection bias may even worsen in the near future.
The one situation where an entire,