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Ambient air pollution, meteorology, and COVID-19 infection in Korea

Hoang Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, South Korea|
Tho Thi Anh (57218278248) Faculty of Pharmacy, Duy Tan University, Danang, Viet Nam| Tung (57209973420); Tran Institute of Research and Development, Duy Tan University, Danang, Viet Nam|

Journal of Medical Virology Số 2, năm 2021 (Tập 93, trang 878-885)

ISSN: 1466615

ISSN: 1466615

DOI: 10.1002/jmv.26325

Tài liệu thuộc danh mục:

Article

English

Từ khóa: Air Pollutants; Air Pollution; Carbon Monoxide; Cities; COVID-19; Humans; Meteorology; Nitrogen Dioxide; Pandemics; Particulate Matter; Republic of Korea; SARS-CoV-2; Sulfur Dioxide; Temperature; carbon monoxide; nitrogen dioxide; sulfur dioxide; carbon monoxide; nitrogen dioxide; sulfur dioxide; air pollutant; air pollution; Article; coronavirus disease 2019; human; meteorological phenomena; pandemic; South Korea; temperature; temporal analysis; air pollution; city; diagnosis; epidemiology; meteorology; pandemic; particulate matter; pathogenicity; procedures
Tóm tắt tiếng anh
The outbreak of novel pneumonia coronavirus disease has become a public health concern worldwide. Here, for the first time, the association between Korean meteorological factors and air pollutants and the COVID-19 infection was investigated. Data of air pollutants, meteorological factors, and daily COVID-19 confirmed cases of seven metropolitan cities and nine provinces were obtained from 3 February 2020 to 5 May 2020 during the first wave of pandemic across Korea. We applied the generalized additive model to investigate the temporal relationship. There was a significantly nonlinear association between daily temperature and COVID-19 confirmed cases. Each 1�C increase in temperature was associated with 9% (lag 0-14; OR = 1.09; 95% CI = 1.03-1.15) increase of COVID-19 confirmed cases when the temperature was below 8�C. A 0.01 ppm increase in NO2 (lag 0-7, lag 0.14, and lag 0-21) was significantly associated with increases of COVID-19 confirmed cases, with ORs (95% CIs) of 1.13 (1.02-1.25), 1.19 (1.09-1.30), and 1.30 (1.19-1.41), respectively. A 0.1 ppm increase in CO (lag 0-21) was associated with the increase in COVID-19 confirmed cases (OR = 1.10, 95% CI = 1.04-1.16). There was a positive association between per 0.001 ppm of SO2 concentration (lag 0, lag 0-7, and lag 0-14) and COVID-19 confirmed cases, with ORs (95% CIs) of 1.13 (1.04-1.22), 1.20 (1.11-1.31), and 1.15 (1.07-1.25), respectively. There were significantly temporal associations between temperature, NO2, CO, and SO2 concentrations and daily COVID-19 confirmed cases in Korea. � 2020 Wiley Periodicals LLC

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