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The effect of human mobility and control measures on the COVID-19 epidemic in China
The ongoing COVID-19 outbreak expanded rapidly throughout China. Major behavioral, clinical, and state interventions have been undertaken to mitigate the epidemic and prevent the persistence of the virus in human populations in China and worldwide. It remains unclear how these unprecedented interven...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146642/ https://www.ncbi.nlm.nih.gov/pubmed/32213647 http://dx.doi.org/10.1126/science.abb4218 |
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author | Kraemer, Moritz U. G. Yang, Chia-Hung Gutierrez, Bernardo Wu, Chieh-Hsi Klein, Brennan Pigott, David M. du Plessis, Louis Faria, Nuno R. Li, Ruoran Hanage, William P. Brownstein, John S. Layan, Maylis Vespignani, Alessandro Tian, Huaiyu Dye, Christopher Pybus, Oliver G. Scarpino, Samuel V. |
author_facet | Kraemer, Moritz U. G. Yang, Chia-Hung Gutierrez, Bernardo Wu, Chieh-Hsi Klein, Brennan Pigott, David M. du Plessis, Louis Faria, Nuno R. Li, Ruoran Hanage, William P. Brownstein, John S. Layan, Maylis Vespignani, Alessandro Tian, Huaiyu Dye, Christopher Pybus, Oliver G. Scarpino, Samuel V. |
author_sort | Kraemer, Moritz U. G. |
collection | PubMed |
description | The ongoing COVID-19 outbreak expanded rapidly throughout China. Major behavioral, clinical, and state interventions have been undertaken to mitigate the epidemic and prevent the persistence of the virus in human populations in China and worldwide. It remains unclear how these unprecedented interventions, including travel restrictions, affected COVID-19 spread in China. We use real-time mobility data from Wuhan and detailed case data including travel history to elucidate the role of case importation on transmission in cities across China and ascertain the impact of control measures. Early on, the spatial distribution of COVID-19 cases in China was explained well by human mobility data. Following the implementation of control measures, this correlation dropped and growth rates became negative in most locations, although shifts in the demographics of reported cases were still indicative of local chains of transmission outside Wuhan. This study shows that the drastic control measures implemented in China substantially mitigated the spread of COVID-19. |
format | Online Article Text |
id | pubmed-7146642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71466422020-05-12 The effect of human mobility and control measures on the COVID-19 epidemic in China Kraemer, Moritz U. G. Yang, Chia-Hung Gutierrez, Bernardo Wu, Chieh-Hsi Klein, Brennan Pigott, David M. du Plessis, Louis Faria, Nuno R. Li, Ruoran Hanage, William P. Brownstein, John S. Layan, Maylis Vespignani, Alessandro Tian, Huaiyu Dye, Christopher Pybus, Oliver G. Scarpino, Samuel V. Science Research Articles The ongoing COVID-19 outbreak expanded rapidly throughout China. Major behavioral, clinical, and state interventions have been undertaken to mitigate the epidemic and prevent the persistence of the virus in human populations in China and worldwide. It remains unclear how these unprecedented interventions, including travel restrictions, affected COVID-19 spread in China. We use real-time mobility data from Wuhan and detailed case data including travel history to elucidate the role of case importation on transmission in cities across China and ascertain the impact of control measures. Early on, the spatial distribution of COVID-19 cases in China was explained well by human mobility data. Following the implementation of control measures, this correlation dropped and growth rates became negative in most locations, although shifts in the demographics of reported cases were still indicative of local chains of transmission outside Wuhan. This study shows that the drastic control measures implemented in China substantially mitigated the spread of COVID-19. American Association for the Advancement of Science 2020-03-25 /pmc/articles/PMC7146642/ /pubmed/32213647 http://dx.doi.org/10.1126/science.abb4218 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works http://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Articles Kraemer, Moritz U. G. Yang, Chia-Hung Gutierrez, Bernardo Wu, Chieh-Hsi Klein, Brennan Pigott, David M. du Plessis, Louis Faria, Nuno R. Li, Ruoran Hanage, William P. Brownstein, John S. Layan, Maylis Vespignani, Alessandro Tian, Huaiyu Dye, Christopher Pybus, Oliver G. Scarpino, Samuel V. The effect of human mobility and control measures on the COVID-19 epidemic in China |
title | The effect of human mobility and control measures on the COVID-19
epidemic in China |
title_full | The effect of human mobility and control measures on the COVID-19
epidemic in China |
title_fullStr | The effect of human mobility and control measures on the COVID-19
epidemic in China |
title_full_unstemmed | The effect of human mobility and control measures on the COVID-19
epidemic in China |
title_short | The effect of human mobility and control measures on the COVID-19
epidemic in China |
title_sort | effect of human mobility and control measures on the covid-19
epidemic in china |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146642/ https://www.ncbi.nlm.nih.gov/pubmed/32213647 http://dx.doi.org/10.1126/science.abb4218 |
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