Long-Term Exposure to Fine and Coarse Particulate Matter and COVID-19 Incidence and Mortality Rate in Chile during 2020
| Autor: | Mariel Opazo, Nicolás Huneeus, Macarena Alejandra Valdés Salgado, Pamela Smith |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
environmental indicators
medicine.medical_specialty 010504 meteorology & atmospheric sciences Health Toxicology and Mutagenesis air pollution Air pollution 010501 environmental sciences medicine.disease_cause 01 natural sciences complex mixtures Article Environmental health Epidemiology Humans Medicine Chile Mortality Pandemics climate 0105 earth and related environmental sciences Pollutant Air Pollutants business.industry SARS-CoV-2 Incidence Incidence (epidemiology) Mortality rate Population size Confounding Public Health Environmental and Occupational Health COVID-19 Regression analysis Environmental Exposure South America Particulate Matter business |
| Zdroj: | International Journal of Environmental Research and Public Health Volume 18 Issue 14 International Journal of Environmental Research and Public Health, Vol 18, Iss 7409, p 7409 (2021) |
| ISSN: | 1660-4601 |
| DOI: | 10.3390/ijerph18147409 |
| Popis: | Background: Several countries have documented the relationship between long-term exposure to air pollutants and epidemiological indicators of the COVID-19 pandemic, such as incidence and mortality. This study aims to explore the association between air pollutants, such as PM2.5 and PM10, and the incidence and mortality rates of COVID-19 during 2020. Methods: The incidence and mortality rates were estimated using the COVID-19 cases and deaths from the Chilean Ministry of Science, and the population size was obtained from the Chilean Institute of Statistics. A chemistry transport model was used to estimate the annual mean surface concentration of PM2.5 and PM10 in a period before the current pandemic. Negative binomial regressions were used to associate the epidemiological information with pollutant concentrations while considering demographic and social confounders. Results: For each microgram per cubic meter, the incidence rate increased by 1.3% regarding PM2.5 and 0.9% regarding PM10. There was no statistically significant relationship between the COVID-19 mortality rate and PM2.5 or PM10. Conclusions: The adjusted regression models showed that the COVID-19 incidence rate was significantly associated with chronic exposure to PM2.5 and PM10, even after adjusting for other variables. |
| Databáze: | OpenAIRE |
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