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Meteorological conditions and nonpharmaceutical interventions jointly determined local transmissibility of COVID-19 in 41 Chinese cities: A retrospective observational study

BACKGROUND: Before effective vaccines become widely available, sufficient understanding of the impacts of climate, human movement and non-pharmaceutical interventions on the transmissibility of COVID-19 is needed but still lacking. METHODS: We collected by crowdsourcing a database of 11 003 COVID-19...

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Autores principales: Fang, Li-Qun, Zhang, Hai-Yang, Zhao, Han, Che, Tian-Le, Zhang, An-Ran, Liu, Ming-Jin, Shi, Wen-Qiang, Guo, Jian-Ping, Zhang, Yong, Liu, Wei, Yang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474870/
https://www.ncbi.nlm.nih.gov/pubmed/34173597
http://dx.doi.org/10.1016/j.lanwpc.2020.100020
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author Fang, Li-Qun
Zhang, Hai-Yang
Zhao, Han
Che, Tian-Le
Zhang, An-Ran
Liu, Ming-Jin
Shi, Wen-Qiang
Guo, Jian-Ping
Zhang, Yong
Liu, Wei
Yang, Yang
author_facet Fang, Li-Qun
Zhang, Hai-Yang
Zhao, Han
Che, Tian-Le
Zhang, An-Ran
Liu, Ming-Jin
Shi, Wen-Qiang
Guo, Jian-Ping
Zhang, Yong
Liu, Wei
Yang, Yang
author_sort Fang, Li-Qun
collection PubMed
description BACKGROUND: Before effective vaccines become widely available, sufficient understanding of the impacts of climate, human movement and non-pharmaceutical interventions on the transmissibility of COVID-19 is needed but still lacking. METHODS: We collected by crowdsourcing a database of 11 003 COVID-19 cases from 305 cities outside Hubei Province from December 31, 2019 to April 27, 2020. We estimated the daily effective reproduction numbers (R(t)) of COVID-19 in 41 cities where the crowdsourced case data are comparable to the official surveillance data. The impacts of meteorological variables, human movement indices and nonpharmaceutical emergency responses on R(t) were evaluated with generalized estimation equation models. FINDINGS: The median R(t) was 0•46 (IQR: 0•37–0•87) in the northern cities, higher than 0•20 (IQR: 0•09–0•52) in the southern cities (p=0•004). A higher local transmissibility of COVID-19 was associated with a low temperature, a relative humidity near 70–75%, and higher intracity and intercity human movement. An increase in temperature from 0℃ to 20℃ would reduce R(t) by 30% (95 CI 10–46%). A further increase to 30℃ would result in another 17% (95% CI 5–27%) reduction. An increase in relative humidity from 40% to 75% would raise the transmissibility by 47% (95% CI 9–97%), but a further increase to 90% would reduce the transmissibility by 12% (95% CI 4–19%). The decrease in intracity human movement as a part of the highest-level emergency response in China reduced the transmissibility by 36% (95% CI 27–44%), compared to 5% (95% CI 1–9%) for restricting intercity transport. Other nonpharmaceutical interventions further reduced R(t) by 39% (95% CI 31–47%). INTERPRETATION: Climate can affect the transmission of COVID-19 where effective interventions are implemented. Restrictions on intracity human movement may be needed in places where other nonpharmaceutical interventions are unable to mitigate local transmission. FUNDING: China Mega-Project on Infectious Disease Prevention; U.S. National Institutes of Health and National Science Foundation.
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spelling pubmed-74748702020-09-08 Meteorological conditions and nonpharmaceutical interventions jointly determined local transmissibility of COVID-19 in 41 Chinese cities: A retrospective observational study Fang, Li-Qun Zhang, Hai-Yang Zhao, Han Che, Tian-Le Zhang, An-Ran Liu, Ming-Jin Shi, Wen-Qiang Guo, Jian-Ping Zhang, Yong Liu, Wei Yang, Yang Lancet Reg Health West Pac Research Paper BACKGROUND: Before effective vaccines become widely available, sufficient understanding of the impacts of climate, human movement and non-pharmaceutical interventions on the transmissibility of COVID-19 is needed but still lacking. METHODS: We collected by crowdsourcing a database of 11 003 COVID-19 cases from 305 cities outside Hubei Province from December 31, 2019 to April 27, 2020. We estimated the daily effective reproduction numbers (R(t)) of COVID-19 in 41 cities where the crowdsourced case data are comparable to the official surveillance data. The impacts of meteorological variables, human movement indices and nonpharmaceutical emergency responses on R(t) were evaluated with generalized estimation equation models. FINDINGS: The median R(t) was 0•46 (IQR: 0•37–0•87) in the northern cities, higher than 0•20 (IQR: 0•09–0•52) in the southern cities (p=0•004). A higher local transmissibility of COVID-19 was associated with a low temperature, a relative humidity near 70–75%, and higher intracity and intercity human movement. An increase in temperature from 0℃ to 20℃ would reduce R(t) by 30% (95 CI 10–46%). A further increase to 30℃ would result in another 17% (95% CI 5–27%) reduction. An increase in relative humidity from 40% to 75% would raise the transmissibility by 47% (95% CI 9–97%), but a further increase to 90% would reduce the transmissibility by 12% (95% CI 4–19%). The decrease in intracity human movement as a part of the highest-level emergency response in China reduced the transmissibility by 36% (95% CI 27–44%), compared to 5% (95% CI 1–9%) for restricting intercity transport. Other nonpharmaceutical interventions further reduced R(t) by 39% (95% CI 31–47%). INTERPRETATION: Climate can affect the transmission of COVID-19 where effective interventions are implemented. Restrictions on intracity human movement may be needed in places where other nonpharmaceutical interventions are unable to mitigate local transmission. FUNDING: China Mega-Project on Infectious Disease Prevention; U.S. National Institutes of Health and National Science Foundation. Elsevier 2020-09-06 /pmc/articles/PMC7474870/ /pubmed/34173597 http://dx.doi.org/10.1016/j.lanwpc.2020.100020 Text en © 2020 The Author(s). Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Fang, Li-Qun
Zhang, Hai-Yang
Zhao, Han
Che, Tian-Le
Zhang, An-Ran
Liu, Ming-Jin
Shi, Wen-Qiang
Guo, Jian-Ping
Zhang, Yong
Liu, Wei
Yang, Yang
Meteorological conditions and nonpharmaceutical interventions jointly determined local transmissibility of COVID-19 in 41 Chinese cities: A retrospective observational study
title Meteorological conditions and nonpharmaceutical interventions jointly determined local transmissibility of COVID-19 in 41 Chinese cities: A retrospective observational study
title_full Meteorological conditions and nonpharmaceutical interventions jointly determined local transmissibility of COVID-19 in 41 Chinese cities: A retrospective observational study
title_fullStr Meteorological conditions and nonpharmaceutical interventions jointly determined local transmissibility of COVID-19 in 41 Chinese cities: A retrospective observational study
title_full_unstemmed Meteorological conditions and nonpharmaceutical interventions jointly determined local transmissibility of COVID-19 in 41 Chinese cities: A retrospective observational study
title_short Meteorological conditions and nonpharmaceutical interventions jointly determined local transmissibility of COVID-19 in 41 Chinese cities: A retrospective observational study
title_sort meteorological conditions and nonpharmaceutical interventions jointly determined local transmissibility of covid-19 in 41 chinese cities: a retrospective observational study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474870/
https://www.ncbi.nlm.nih.gov/pubmed/34173597
http://dx.doi.org/10.1016/j.lanwpc.2020.100020
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