Airborne particulate matter, population mobility and COVID-19: a multi-city study in China.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
21 Oct 2020
Historique:
received: 07 07 2020
accepted: 09 10 2020
entrez: 22 10 2020
pubmed: 23 10 2020
medline: 24 10 2020
Statut: epublish

Résumé

Coronavirus disease 2019 (COVID-19) is an emerging infectious disease, which has caused numerous deaths and health problems worldwide. This study aims to examine the effects of airborne particulate matter (PM) pollution and population mobility on COVID-19 across China. We obtained daily confirmed cases of COVID-19, air particulate matter (PM We found each 1 unit increase in daily MSI was significantly positively associated with daily confirmed cases of COVID-19 in all lag days and the strongest estimated RR (1.21, 95% CIs:1.14 ~ 1.28) was observed at lag 014. In PM analysis, we found each 10 μg/m Population mobility and airborne particulate matter may be associated with an increased risk of COVID-19 transmission.

Sections du résumé

BACKGROUND BACKGROUND
Coronavirus disease 2019 (COVID-19) is an emerging infectious disease, which has caused numerous deaths and health problems worldwide. This study aims to examine the effects of airborne particulate matter (PM) pollution and population mobility on COVID-19 across China.
METHODS METHODS
We obtained daily confirmed cases of COVID-19, air particulate matter (PM
RESULTS RESULTS
We found each 1 unit increase in daily MSI was significantly positively associated with daily confirmed cases of COVID-19 in all lag days and the strongest estimated RR (1.21, 95% CIs:1.14 ~ 1.28) was observed at lag 014. In PM analysis, we found each 10 μg/m
CONCLUSIONS CONCLUSIONS
Population mobility and airborne particulate matter may be associated with an increased risk of COVID-19 transmission.

Identifiants

pubmed: 33087097
doi: 10.1186/s12889-020-09669-3
pii: 10.1186/s12889-020-09669-3
pmc: PMC7576551
doi:

Substances chimiques

Particulate Matter 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1585

Subventions

Organisme : Fundamental Research Funds for the Central Universities
ID : lzujbky-2020-sp21
Organisme : National Natural Science Foundation of China
ID : 4187050043

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Auteurs

Bo Wang (B)

Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.

Jiangtao Liu (J)

Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.

Yanlin Li (Y)

Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.

Shihua Fu (S)

Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.

Xiaocheng Xu (X)

Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.

Lanyu Li (L)

Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.

Ji Zhou (J)

Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, 200030, People's Republic of China.

Xingrong Liu (X)

Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.

Xiaotao He (X)

Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.

Jun Yan (J)

Department of General Surgery, the First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.

Yanjun Shi (Y)

Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.

Jingping Niu (J)

Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.

Yong Yang (Y)

Division of Social and Behavioral Sciences, School of Public Health, University of Memphis, Memphis, TN, 38152, USA.

Yiyao Li (Y)

Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.

Bin Luo (B)

Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China. luob@lzu.edu.cn.
Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, 200030, People's Republic of China. luob@lzu.edu.cn.
Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, 200030, China. luob@lzu.edu.cn.

Kai Zhang (K)

Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Southwest Center for Occupational and Environmental Health, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.

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