Bhramar Mukherjee tweets that the exponential curve of COVID papers needs to flatten
The number of COVID papers to read is increasing exponentially. We need to flatten the curve.
https://twitter.com/BhramarBioStat/status/1275230531140169728 -@BhramarBioStat
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Bhramar Mukherjee tweets that the exponential curve of COVID papers needs to flatten
Wikipedia: Different research demonstrates different results regarding the effectiveness of a drug/treatment that causes a big gap among the data being communicated.
Wikipedia: WHO vs Johns Hopkins University (JHU): two trusted sources constantly differ in data.
Wikipedia: Research projects being buried under more research and information is being overlooked or hard to be reached at.
Wikipedia: Inconsistencies in numbers vary from source to source. Does accuracy in data make it credible, or should the source's identity be the deciding factor in reliability?
Wikipedia: Restrictions against preprints and what adds credibility to a source
Big surge of information regarding COVID-19, people should find multiple sources to find reliability in the information, and not accept all information at face value.
Preprints: some researchers believe speed is more important of validity. These are different times when information is needed more urgently, still, it is recommended researchers investigate further on these preprints and peer review them themselves.