The COVID-19 pandemic may be the biggest global health challenge in our lifetimes. There are no easy answers, and a myriad of unknowns. In the below writings, CCDD experts offer guidance on how to make (some) sense of it all.
Popular articles:
- COVID-19 Vaccines and Herd ImmunityDecember 2020
- The math is simple, but the inputs are uncertain.
- Who Qualifies as an “Expert” And How Can We Decide Who Is Trustworthy?October 2020
- How do we distinguish an expert from a charlatan? Published in Leapsmag.
- Good Science is Good ScienceMay 2020
- We need collaboration among specialists, not sects. Published in Boston Review.
- Which COVID-19 Data Can You Trust?May 2020
- The pandemic has produced a tidal wave of data, but how much of it is any good? Published in Harvard Business Review.
- How to Report on the COVID-19 Outbreak ResponsiblyFebruary 2020
- There are big differences between what we know is true, what we think is true, and opinions and speculation. Published in Scientific American.
- Seasonality of SARS-CoV-2: Will COVID-19 go away on its own in warmer weather?February 2020
- The short answer is probably not.
Scholarly articles:
- The Use and Misuse of Mathematical Modeling for Infectious Disease Policymaking: Lessons for the COVID-19 PandemicFebruary 2021
- Medical Decision Making
- Reopening Primary Schools during the PandemicSeptember 2020
- New England Journal of Medicine
- Individual model forecasts can be misleading, but together they are usefulJuly 2020
- European Journal of Epidemiology
- Wrong but Useful – What Covid-19 Epidemiologic Models Can and Cannot Tell UsJuly 2020
- New England Journal of Medicine