Red Flag

Covid-19 Research and Resources

HRDAG is identifying and interpreting the best science we can find to shed light on the global crisis brought on by the novel coronavirus, about which we still know so little. Right now, most of the data on the virus SARS-CoV-2 and Covid-19, the condition caused by the virus, are incomplete and unrepresentative, which means that there is a great deal of uncertainty. But making sense of imperfect datasets is what we do. HRDAG is contributing to a better understanding with explainers, essays, and original research, and we are highlighting trustworthy resources for those who want to dig deeper.

Papers and articles by HRDAG

Selected resources from the statistical and health community

A Guide for Understanding the Statistics about Covid-19
https://www.significancemagazine.com/science/652-a-statistician-s-guide-to-coronavirus-numbers

Why it’s so freaking hard to build a good Covid-19 model
https://fivethirtyeight.com/features/why-its-so-freaking-hard-to-make-a-good-covid-19-model/

StatsChat:  Professor Thomas Lumley’s blog on statistical thinking
https://www.statschat.org.nz/ 

The World Health Organization Covid-19 Dashboard
https://covid19.who.int/

Our work has been used by truth commissions, international criminal tribunals, and non-governmental human rights organizations. We have worked with partners on projects on five continents.

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