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The ambient ozone and COVID-19 transmissibility in China: A data-driven ecological study of 154 cities
• We quantified the COVID-19 transmissibility by the basic reproductive number. • The COVID-19 transmissibility could be negatively associated with ambient ozone. • The daily 1-h maximum ozone might cover 7.6% of the transmissibility variability. • It echoes a previous study of negative effects of o...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Infection Association. Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342057/ https://www.ncbi.nlm.nih.gov/pubmed/32652165 http://dx.doi.org/10.1016/j.jinf.2020.07.011 |
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author | Ran, Jinjun Zhao, Shi Han, Lefei Chen, Dieyi Yang, Zuyao Yang, Lin Wang, Maggie H He, Daihai |
author_facet | Ran, Jinjun Zhao, Shi Han, Lefei Chen, Dieyi Yang, Zuyao Yang, Lin Wang, Maggie H He, Daihai |
author_sort | Ran, Jinjun |
collection | PubMed |
description | • We quantified the COVID-19 transmissibility by the basic reproductive number. • The COVID-19 transmissibility could be negatively associated with ambient ozone. • The daily 1-h maximum ozone might cover 7.6% of the transmissibility variability. • It echoes a previous study of negative effects of ozone on the flu transmission. • The ground-level ozone may be a “double-edged sword” to public health. |
format | Online Article Text |
id | pubmed-7342057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The British Infection Association. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73420572020-07-09 The ambient ozone and COVID-19 transmissibility in China: A data-driven ecological study of 154 cities Ran, Jinjun Zhao, Shi Han, Lefei Chen, Dieyi Yang, Zuyao Yang, Lin Wang, Maggie H He, Daihai J Infect Article • We quantified the COVID-19 transmissibility by the basic reproductive number. • The COVID-19 transmissibility could be negatively associated with ambient ozone. • The daily 1-h maximum ozone might cover 7.6% of the transmissibility variability. • It echoes a previous study of negative effects of ozone on the flu transmission. • The ground-level ozone may be a “double-edged sword” to public health. The British Infection Association. Published by Elsevier Ltd. 2020-09 2020-07-08 /pmc/articles/PMC7342057/ /pubmed/32652165 http://dx.doi.org/10.1016/j.jinf.2020.07.011 Text en © 2020 The British Infection Association. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ran, Jinjun Zhao, Shi Han, Lefei Chen, Dieyi Yang, Zuyao Yang, Lin Wang, Maggie H He, Daihai The ambient ozone and COVID-19 transmissibility in China: A data-driven ecological study of 154 cities |
title | The ambient ozone and COVID-19 transmissibility in China: A data-driven ecological study of 154 cities |
title_full | The ambient ozone and COVID-19 transmissibility in China: A data-driven ecological study of 154 cities |
title_fullStr | The ambient ozone and COVID-19 transmissibility in China: A data-driven ecological study of 154 cities |
title_full_unstemmed | The ambient ozone and COVID-19 transmissibility in China: A data-driven ecological study of 154 cities |
title_short | The ambient ozone and COVID-19 transmissibility in China: A data-driven ecological study of 154 cities |
title_sort | ambient ozone and covid-19 transmissibility in china: a data-driven ecological study of 154 cities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342057/ https://www.ncbi.nlm.nih.gov/pubmed/32652165 http://dx.doi.org/10.1016/j.jinf.2020.07.011 |
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