Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing

Digital proxies of human mobility can be used to monitor social distancing, and therefore have potential to infer COVID-19 dynamics. Here, the authors integrate travel card data from Hong Kong into a transmission model and show that it can be used to track transmissibility in near real-time.

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Autores principales:	Kathy Leung, Joseph T. Wu, Gabriel M. Leung
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/cdc94027eb2343bd99aa71c7a70b8a45
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spelling	oai:doaj.org-article:cdc94027eb2343bd99aa71c7a70b8a452021-12-02T15:53:25ZReal-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing10.1038/s41467-021-21776-22041-1723https://doaj.org/article/cdc94027eb2343bd99aa71c7a70b8a452021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21776-2https://doaj.org/toc/2041-1723Digital proxies of human mobility can be used to monitor social distancing, and therefore have potential to infer COVID-19 dynamics. Here, the authors integrate travel card data from Hong Kong into a transmission model and show that it can be used to track transmissibility in near real-time.Kathy LeungJoseph T. WuGabriel M. LeungNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Kathy Leung Joseph T. Wu Gabriel M. Leung Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing
description	Digital proxies of human mobility can be used to monitor social distancing, and therefore have potential to infer COVID-19 dynamics. Here, the authors integrate travel card data from Hong Kong into a transmission model and show that it can be used to track transmissibility in near real-time.
format	article
author	Kathy Leung Joseph T. Wu Gabriel M. Leung
author_facet	Kathy Leung Joseph T. Wu Gabriel M. Leung
author_sort	Kathy Leung
title	Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing
title_short	Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing
title_full	Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing
title_fullStr	Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing
title_full_unstemmed	Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing
title_sort	real-time tracking and prediction of covid-19 infection using digital proxies of population mobility and mixing
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/cdc94027eb2343bd99aa71c7a70b8a45
work_keys_str_mv	AT kathyleung realtimetrackingandpredictionofcovid19infectionusingdigitalproxiesofpopulationmobilityandmixing AT josephtwu realtimetrackingandpredictionofcovid19infectionusingdigitalproxiesofpopulationmobilityandmixing AT gabrielmleung realtimetrackingandpredictionofcovid19infectionusingdigitalproxiesofpopulationmobilityandmixing
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Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing

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