Effects of meteorological factors and air pollutants on the incidence of COVID-19 in South Korea.

Environ Res

Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea; Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Republic of Korea; Institute of Basic Medical Sciences, School of Medicine, CHA University, Seongnam, Republic of Korea; Healthcare Big-Data Center, Bundang CHA Hospital, Seongnam, Republic of Korea.

Published: September 2022

AI Article Synopsis

  • Air pollution and weather factors may increase the risk of respiratory viral infections, prompting a study on their impact on COVID-19 transmission in South Korea from January to April 2020.
  • The research analyzed various pollutants (like sulfur dioxide and carbon monoxide) and meteorological factors (such as sunshine and temperature) to see how they affected the incidence of COVID-19.
  • Key findings showed that older age, exposure to air pollutants, and non-cluster infections were significantly linked to increased COVID-19 risk, highlighting the need for further research to improve preventive measures.

Article Abstract

Air pollution and meteorological factors can exacerbate susceptibility to respiratory viral infections. To establish appropriate prevention and intervention strategies, it is important to determine whether these factors affect the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, this study examined the effects of sunshine, temperature, wind, and air pollutants including sulfur dioxide (SO), carbon monoxide (CO), ozone (O), nitrogen dioxide (NO), particulate matter ≤2.5 μm (PM), and particulate matter ≤10 μm (PM) on the age-standardized incidence ratio of coronavirus disease (COVID-19) in South Korea between January 2020 and April 2020. Propensity score weighting was used to randomly select observations into groups according to whether the case was cluster-related, to reduce selection bias. Multivariable logistic regression analyses were used to identify factors associated with COVID-19 incidence. Age 60 years or over (odds ratio [OR], 1.29; 95% CI, 1.24-1.35), exposure to ambient air pollutants, especially SO (OR, 5.19; 95% CI, 1.13-23.9) and CO (OR, 1.17; 95% CI, 1.07-1.27), and non-cluster infection (OR, 1.28; 95% CI, 1.24-1.32) were associated with SARS-CoV-2 infection. To manage and control COVID-19 effectively, further studies are warranted to confirm these findings and to develop appropriate guidelines to minimize SARS-CoV-2 transmission.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068245PMC
http://dx.doi.org/10.1016/j.envres.2022.113392DOI Listing

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