Projecting contact matrices in 177 geographical regions: An update and comparison with empirical data for the COVID-19 era.

Projecting contact matrices in 177 geographical regions: An update and comparison with empirical data for the COVID-19 era.

Mathematical models have played a key role in understanding the spread of directly-transmissible infectious diseases such as Coronavirus Disease 2019 (COVID-19), as well as the effectiveness of public health responses. As the risk of contracting directly-transmitted infections depends on who interac...

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Bibliographic Details
Main Authors: Kiesha Prem, Kevin van Zandvoort, Petra Klepac, Rosalind M Eggo, Nicholas G Davies, Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group, Alex R Cook, Mark Jit
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-07-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1009098

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https://doi.org/10.1371/journal.pcbi.1009098

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