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Correlations of mobility and Covid-19 transmission in global data

Assessing the contribution of mobility declines to the control of Covid-19 diffusion is an urgent challenge of global import. We analyze the temporal correlation between transmission rates and societal mobility levels using daily mobility data from Google and Apple in an international panel of 99 co...

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Detalles Bibliográficos
Autores principales: Bergman, Nittai K., Fishman, Ram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355416/
https://www.ncbi.nlm.nih.gov/pubmed/37467277
http://dx.doi.org/10.1371/journal.pone.0279484
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author Bergman, Nittai K.
Fishman, Ram
author_facet Bergman, Nittai K.
Fishman, Ram
author_sort Bergman, Nittai K.
collection PubMed
description Assessing the contribution of mobility declines to the control of Covid-19 diffusion is an urgent challenge of global import. We analyze the temporal correlation between transmission rates and societal mobility levels using daily mobility data from Google and Apple in an international panel of 99 countries during the period of March-December 2020. Reduced form regression estimates that flexibly control for time trends suggest that globally, a 10 percentage point reduction in mobility is associated with a 0.05–0.07 reduction in the value of the effective reproduction number, R(t). However, the strength of the association varies substantially across world regions and over time, being initially positive and strong in most world regions during the 2020 spring period, but becoming weaker over the summer, especially in Europe and Asia. We further find evidence that the strength of the association between mobility and transmission rates is reduced where facial coverings rules were implemented.
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spelling pubmed-103554162023-07-20 Correlations of mobility and Covid-19 transmission in global data Bergman, Nittai K. Fishman, Ram PLoS One Research Article Assessing the contribution of mobility declines to the control of Covid-19 diffusion is an urgent challenge of global import. We analyze the temporal correlation between transmission rates and societal mobility levels using daily mobility data from Google and Apple in an international panel of 99 countries during the period of March-December 2020. Reduced form regression estimates that flexibly control for time trends suggest that globally, a 10 percentage point reduction in mobility is associated with a 0.05–0.07 reduction in the value of the effective reproduction number, R(t). However, the strength of the association varies substantially across world regions and over time, being initially positive and strong in most world regions during the 2020 spring period, but becoming weaker over the summer, especially in Europe and Asia. We further find evidence that the strength of the association between mobility and transmission rates is reduced where facial coverings rules were implemented. Public Library of Science 2023-07-19 /pmc/articles/PMC10355416/ /pubmed/37467277 http://dx.doi.org/10.1371/journal.pone.0279484 Text en © 2023 Bergman, Fishman https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bergman, Nittai K.
Fishman, Ram
Correlations of mobility and Covid-19 transmission in global data
title Correlations of mobility and Covid-19 transmission in global data
title_full Correlations of mobility and Covid-19 transmission in global data
title_fullStr Correlations of mobility and Covid-19 transmission in global data
title_full_unstemmed Correlations of mobility and Covid-19 transmission in global data
title_short Correlations of mobility and Covid-19 transmission in global data
title_sort correlations of mobility and covid-19 transmission in global data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355416/
https://www.ncbi.nlm.nih.gov/pubmed/37467277
http://dx.doi.org/10.1371/journal.pone.0279484
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