Coronavirus disease 2019: The harms of exaggerated information and non-evidence-based measures
https://onlinelibrary.wiley.com/doi/full/10.1111/eci.13222
This was actually published on 19 March 2020. From the summary/concluding section of the paper:
Problems with early estimates and responses to the COVID‐19 epidemic
- A highly flawed nonpeer‐reviewed preprint claiming similarity with HIV‐1 drew tremendous attention, and it was withdrawn, but conspiracy theories about the new virus became entrenched
- Even major peer‐reviewed journals have already published wrong, sensationalist items
- Early estimates of the projected proportion of global population that will be infected seem markedly exaggerated
- Early estimates of case (infection) fatality rate may be markedly exaggerated
- The proportion of undetected infections is unknown but probably varies across countries and may be very large overall
- Reported epidemic curves are largely affected by the change in availability of test kits and the willingness to test for the virus over time
- Of the multiple measures adopted, a few have strong evidence, and many may have obvious harms
- Panic shopping of masks and protective gear and excess hospital admissions may be highly detrimental to health systems without offering any concomitant benefit
- Extreme measures such as lockdowns may have major impact on social life and the economy (and those also lives lost), and estimates of this impact are entirely speculative
- Comparisons with and extrapolations from the 1918 influenza pandemic are precarious, if not outright misleading and harmful