Medicine and Health

Forecasting the spread of COVID-19 under different reopening strategies

M. Liu, R. Thomadsen, et al.

This groundbreaking research conducted by Meng Liu, Raphael Thomadsen, and Song Yao combines COVID-19 case data with mobility data to provide new insights into the dynamics of infection spread in the United States. Their modified SIR model reveals a surprising concavity in spread related to the number of infectious individuals, significantly influencing future case forecasts. Discover what happens when social distancing is lifted!

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Playback language: English

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