The effect of human mobility and control measures on the COVID-19 epidemic in China
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/39430 |
Resumo: | 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. |
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The effect of human mobility and control measures on the COVID-19 epidemic in ChinaCoronavirusSevere acute respiratory syndromeCoronavirus - Control measuresSíndrome respiratória aguda graveCoronavírus - Medidas de controleThe 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 Science2020-03-26T16:56:48Z2020-03-26T16:56:48Z2020-03-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfKRAEMER, M. U. G. et al. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science, [S. l.], 2020. DOI: 10.1126/science.abb4218.http://repositorio.ufla.br/jspui/handle/1/39430Sciencereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessKraemer, Moritz U. G.Yang, Chia-HungGutierrez, BernardoWu, Chieh-HsiKlein, BrennanPigott, David M.Plessis, Louis duFaria, Nuno R.Li, RuoranHanage, William P.Brownstein, John S.Layan, MaylisVespignani, AlessandroTian, HuaiyuDye, ChristopherPybus, Oliver G.Scarpino, Samuel V.eng2020-03-26T16:56:49Zoai:localhost:1/39430Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-03-26T16:56:49Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
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 |
spellingShingle |
The effect of human mobility and control measures on the COVID-19 epidemic in China Kraemer, Moritz U. G. Coronavirus Severe acute respiratory syndrome Coronavirus - Control measures Síndrome respiratória aguda grave Coronavírus - Medidas de controle |
title_short |
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_sort |
The effect of human mobility and control measures on the COVID-19 epidemic in China |
author |
Kraemer, Moritz U. G. |
author_facet |
Kraemer, Moritz U. G. Yang, Chia-Hung Gutierrez, Bernardo Wu, Chieh-Hsi Klein, Brennan Pigott, David M. Plessis, Louis du 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_role |
author |
author2 |
Yang, Chia-Hung Gutierrez, Bernardo Wu, Chieh-Hsi Klein, Brennan Pigott, David M. Plessis, Louis du 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. |
author2_role |
author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Kraemer, Moritz U. G. Yang, Chia-Hung Gutierrez, Bernardo Wu, Chieh-Hsi Klein, Brennan Pigott, David M. Plessis, Louis du 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. |
dc.subject.por.fl_str_mv |
Coronavirus Severe acute respiratory syndrome Coronavirus - Control measures Síndrome respiratória aguda grave Coronavírus - Medidas de controle |
topic |
Coronavirus Severe acute respiratory syndrome Coronavirus - Control measures Síndrome respiratória aguda grave Coronavírus - Medidas de controle |
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. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-03-26T16:56:48Z 2020-03-26T16:56:48Z 2020-03-25 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
KRAEMER, M. U. G. et al. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science, [S. l.], 2020. DOI: 10.1126/science.abb4218. http://repositorio.ufla.br/jspui/handle/1/39430 |
identifier_str_mv |
KRAEMER, M. U. G. et al. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science, [S. l.], 2020. DOI: 10.1126/science.abb4218. |
url |
http://repositorio.ufla.br/jspui/handle/1/39430 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
American Association for the Advancement of Science |
publisher.none.fl_str_mv |
American Association for the Advancement of Science |
dc.source.none.fl_str_mv |
Science reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1823242115879010304 |