Fine-grained data reveal segregated mobility networks and opportunities for local containment of COVID-19

Abstract Deriving effective mobility control measures is critical for the control of COVID-19 spreading. In response to the COVID-19 pandemic, many countries and regions implemented travel restrictions and quarantines to reduce human mobility and thus reduce virus transmission. But since human mobil...

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Autores principales:	Chao Fan, Ronald Lee, Yang Yang, Ali Mostafavi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/488e897a789a4fec8f165ab3bc4616d7
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spelling	oai:doaj.org-article:488e897a789a4fec8f165ab3bc4616d72021-12-02T17:08:43ZFine-grained data reveal segregated mobility networks and opportunities for local containment of COVID-1910.1038/s41598-021-95894-82045-2322https://doaj.org/article/488e897a789a4fec8f165ab3bc4616d72021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95894-8https://doaj.org/toc/2045-2322Abstract Deriving effective mobility control measures is critical for the control of COVID-19 spreading. In response to the COVID-19 pandemic, many countries and regions implemented travel restrictions and quarantines to reduce human mobility and thus reduce virus transmission. But since human mobility decreased heterogeneously, we lack empirical evidence of the extent to which the reductions in mobility alter the way people from different regions of cities are connected, and what containment policies could complement mobility reductions to conquer the pandemic. Here, we examined individual movements in 21 of the most affected counties in the United States, showing that mobility reduction leads to a segregated place network and alters its relationship with pandemic spread. Our findings suggest localized area-specific policies, such as geo-fencing, as viable alternatives to city-wide lockdown for conquering the pandemic after mobility was reduced.Chao FanRonald LeeYang YangAli MostafaviNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-6 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chao Fan Ronald Lee Yang Yang Ali Mostafavi Fine-grained data reveal segregated mobility networks and opportunities for local containment of COVID-19
description	Abstract Deriving effective mobility control measures is critical for the control of COVID-19 spreading. In response to the COVID-19 pandemic, many countries and regions implemented travel restrictions and quarantines to reduce human mobility and thus reduce virus transmission. But since human mobility decreased heterogeneously, we lack empirical evidence of the extent to which the reductions in mobility alter the way people from different regions of cities are connected, and what containment policies could complement mobility reductions to conquer the pandemic. Here, we examined individual movements in 21 of the most affected counties in the United States, showing that mobility reduction leads to a segregated place network and alters its relationship with pandemic spread. Our findings suggest localized area-specific policies, such as geo-fencing, as viable alternatives to city-wide lockdown for conquering the pandemic after mobility was reduced.
format	article
author	Chao Fan Ronald Lee Yang Yang Ali Mostafavi
author_facet	Chao Fan Ronald Lee Yang Yang Ali Mostafavi
author_sort	Chao Fan
title	Fine-grained data reveal segregated mobility networks and opportunities for local containment of COVID-19
title_short	Fine-grained data reveal segregated mobility networks and opportunities for local containment of COVID-19
title_full	Fine-grained data reveal segregated mobility networks and opportunities for local containment of COVID-19
title_fullStr	Fine-grained data reveal segregated mobility networks and opportunities for local containment of COVID-19
title_full_unstemmed	Fine-grained data reveal segregated mobility networks and opportunities for local containment of COVID-19
title_sort	fine-grained data reveal segregated mobility networks and opportunities for local containment of covid-19
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/488e897a789a4fec8f165ab3bc4616d7
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Fine-grained data reveal segregated mobility networks and opportunities for local containment of COVID-19

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