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What human mobility data tell us about COVID-19 spread
Peoples’ movements — both local and long-distance — have driven the spread of COVID-19, within and between communities. At the same time, although most contagion events involve human travel, not all human travel leads to contagion events, and deriving information about virus spread from what is know...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641537/ https://www.ncbi.nlm.nih.gov/pubmed/34877474 http://dx.doi.org/10.1038/s42254-021-00407-1 |
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author | Alessandretti, Laura |
author_facet | Alessandretti, Laura |
author_sort | Alessandretti, Laura |
collection | PubMed |
description | Peoples’ movements — both local and long-distance — have driven the spread of COVID-19, within and between communities. At the same time, although most contagion events involve human travel, not all human travel leads to contagion events, and deriving information about virus spread from what is known about human mobility remains a challenge. In the past two years, new datasets and analyses have shed fresh light on the problem. |
format | Online Article Text |
id | pubmed-8641537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86415372021-12-03 What human mobility data tell us about COVID-19 spread Alessandretti, Laura Nat Rev Phys Year in Review Peoples’ movements — both local and long-distance — have driven the spread of COVID-19, within and between communities. At the same time, although most contagion events involve human travel, not all human travel leads to contagion events, and deriving information about virus spread from what is known about human mobility remains a challenge. In the past two years, new datasets and analyses have shed fresh light on the problem. Nature Publishing Group UK 2021-12-03 2022 /pmc/articles/PMC8641537/ /pubmed/34877474 http://dx.doi.org/10.1038/s42254-021-00407-1 Text en © Springer Nature Limited 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Year in Review Alessandretti, Laura What human mobility data tell us about COVID-19 spread |
title | What human mobility data tell us about COVID-19 spread |
title_full | What human mobility data tell us about COVID-19 spread |
title_fullStr | What human mobility data tell us about COVID-19 spread |
title_full_unstemmed | What human mobility data tell us about COVID-19 spread |
title_short | What human mobility data tell us about COVID-19 spread |
title_sort | what human mobility data tell us about covid-19 spread |
topic | Year in Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641537/ https://www.ncbi.nlm.nih.gov/pubmed/34877474 http://dx.doi.org/10.1038/s42254-021-00407-1 |
work_keys_str_mv | AT alessandrettilaura whathumanmobilitydatatellusaboutcovid19spread |