Absolutely. One of the worst consequences that we may have to deal with at the end of this is that public trust will go down. In the beginning our leaders failed to act on the guidance of the scientific and medical communities -- almost two months wasted. And now, our leaders are flailing around implementing policy that is not based on reliable data or scientific evidence. They've both failed
to react and then when they did react they are in many ways failing to act prudently.
Take a look at this editorial written by John Ioannidis. Excerpt that is relevant, though the whole thing is a worthwhile read:
>If COVID-19 is not as grave as it is depicted, high evidence standards are equally relevant. Exaggeration and over-reaction may seriously damage the reputation of science, public health, media, and policy makers. It may foster disbelief that will jeopardize the prospects of an appropriately strong response if and when a more major pandemic strikes in the future. [0]
Quick BIO rip from wikipedia:
>Ioannidis studies scientific research itself, especially in clinical medicine and the social sciences. He is one of the most-cited scientists in literature. His 2005 paper "Why Most Published Research Findings Are False" is the most downloaded paper in the Public Library of Science, and has the highest number of Mendeley readers across all science."
>Ioannidis is a 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, along with Steven N. Goodman, 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.
[0] https://onlinelibrary.wiley.com/doi/pdf/10.1111/eci.13222
Take a look at this editorial written by John Ioannidis. Excerpt that is relevant, though the whole thing is a worthwhile read:
>If COVID-19 is not as grave as it is depicted, high evidence standards are equally relevant. Exaggeration and over-reaction may seriously damage the reputation of science, public health, media, and policy makers. It may foster disbelief that will jeopardize the prospects of an appropriately strong response if and when a more major pandemic strikes in the future. [0]
Quick BIO rip from wikipedia:
>Ioannidis studies scientific research itself, especially in clinical medicine and the social sciences. He is one of the most-cited scientists in literature. His 2005 paper "Why Most Published Research Findings Are False" is the most downloaded paper in the Public Library of Science, and has the highest number of Mendeley readers across all science."
>Ioannidis is a 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, along with Steven N. Goodman, 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.
[0] https://onlinelibrary.wiley.com/doi/pdf/10.1111/eci.13222