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dc.contributor.authorXiong, Chenfeng
dc.contributor.authorHu, Songhua
dc.contributor.authorYang, Mofeng
dc.contributor.authorLuo, Weiyu
dc.contributor.authorZhang, Lei
dc.date.accessioned2020-11-16T16:03:59Z
dc.date.available2020-11-16T16:03:59Z
dc.date.issued2020-10-15
dc.identifier.urihttp://hdl.handle.net/10713/14082
dc.description.abstractAccurately estimating human mobility and gauging its relationship with virus transmission is critical for the control of COVID-19 spreading. Using mobile device location data of over 100 million monthly active samples, we compute origin-destination travel demand and aggregate mobility inflow at each US county from March 1 to June 9, 2020. Then, we quantify the change of mobility inflow across the nation and statistically model the time-varying relationship between inflow and the infections. We find that external travel to other counties decreased by 35% soon after the nation entered the emergency situation, but recovered rapidly during the partial reopening phase. Moreover, our simultaneous equations analysis highlights the dynamics in a positive relationship between mobility inflow and the number of infections during the COVID-19 onset. This relationship is found to be increasingly stronger in partially reopened regions. Our study provides a quick reference and timely data availability for researchers and decision makers to understand the national mobility trends before and during the pandemic. The modeling results can be used to predict mobility and transmissions risks and integrated with epidemics models to further assess the public health outcomes.en_US
dc.description.urihttps://doi.org/10.1073/pnas.2010836117en_US
dc.language.isoenen_US
dc.publisherNational Academy of Sciencesen_US
dc.relation.ispartofProceedings of the National Academy of Sciences of the United States of Americaen_US
dc.rightsCopyright © 2020 the Author(s). Published by PNAS.en_US
dc.subjectCOVID-19en_US
dc.subjectmobile device location dataen_US
dc.subjectmobilityen_US
dc.subjectpartial reopeningen_US
dc.titleMobile device data reveal the dynamics in a positive relationship between human mobility and COVID-19 infectionsen_US
dc.typeArticleen_US
dc.identifier.doi10.1073/pnas.2010836117
dc.identifier.pmid33060300
dc.source.volume117
dc.source.issue44
dc.source.beginpage27087
dc.source.endpage27089
dc.source.countryUnited States


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