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...
Main Authors: | Meng Liu, Raphael Thomadsen, Song Yao |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2020-11-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-020-77292-8 |
Similar Items
-
Modelling the spread of COVID-19 on Malaysian contact networks for practical reopening strategies in an institutional setting
by: Fatimah Abdul Razak, et al.
Published: (2021) -
The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study
by: Lior Rennert, et al.
Published: (2021-08-01) -
Schools and COVID-19: Reopening Pandora’s box?
by: Nida Ziauddeen, et al.
Published: (2020-11-01) -
Reopening businesses and risk of COVID-19 transmission
by: Ashley O’Donoghue, et al.
Published: (2021-03-01) -
A dynamic pandemic model evaluating reopening strategies amid COVID-19.
by: Ling Zhong
Published: (2021-01-01)