How policymakers should use the wealth of COVID-19 data

A man washes hands at a hand-washing station to prevent the spread of coronavirus disease (COVID-19) in Jakarta, Indonesia, March 26, 2020. REUTERS/Ajeng Dinar Ulfiana - RC2PRF9F7MS9

Hand washing and social distancing aim to reduce the average number of new infections. Image: REUTERS/Ajeng Dinar Ulfiana

Rees Kassen
Professor of Evolutionary Biology, McGill University
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Expected number of global deaths for three levels of R0 based on data from Imperial College COVID-19 Response Team’s model.
Expected number of global deaths for three levels of R0, based on data from Imperial College. Image: Imperial College
Genomic epidemiology of novel coronavirus - Global subsampling
Real-time tracking of the spread of coronavirus. Image: Nextstrain; GISAID

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COVID-19Data ScienceThe New Data EconomyGlobal HealthGlobal RisksGlobal Governance
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