Forecasting the spread of COVID-19 under different reopening strategies
Abstract We combine COVID-19 case data with mobility data to estimate a modified susceptible-infected-recovered (SIR) model in the United States. In contrast to a standard SIR model, we find that the incidence of COVID-19 spread is concave in the number of infectious individuals, as would be expecte...
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Auteurs principaux: | Meng Liu, Raphael Thomadsen, Song Yao |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2020
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Accès en ligne: | https://doaj.org/article/412bc89f075d4fceb28bfed68ceb49eb |
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