Meteorological parameters and cases of COVID-19 in Brazilian cities: an observational study
| Autor: | Anatoly V. Skalny, Willian da Silva Santos, José Paulo Peccinini Pinese, Mariana Ragassi Urbano, Henrique Pott-Junior, Michael Aschner, Aline M. Susuki, André Silva Olak, Alexey A. Tinkov, Monica Maria Bastos Paoliello |
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| Rok vydání: | 2021 |
| Předmět: |
Sunlight
Coronavirus disease 2019 (COVID-19) Meteorological Concepts SARS-CoV-2 Health Toxicology and Mutagenesis Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Incidence COVID-19 Toxicology Atmospheric sciences Risk Assessment Wind speed Dew point Environmental science Humans Observational study Relative humidity Precipitation Cities Brazil |
| Zdroj: | Journal of toxicology and environmental health. Part A. 85(1) |
| ISSN: | 1528-7394 |
| Popis: | Meteorological parameters modulate transmission of the SARS-Cov-2 virus, the causative agent related to coronavirus disease-2019 (COVID-19) development. However, findings across the globe have been inconsistent attributed to several confounding factors. The aim of the present study was to investigate the relationship between reported meteorological parameters from July 1 to October 31, 2020, and the number of confirmed COVID-19 cases in 4 Brazilian cities: Sao Paulo, the largest city with the highest number of cases in Brazil, and the cities with greater number of cases in the state of Parana during the study period (Curitiba, Londrina and Maringa). The assessment of meteorological factors with confirmed COVID-19 cases included atmospheric pressure, temperature, relative humidity, wind speed, solar irradiation, sunlight, dew point temperature, and total precipitation. The 7- and 15-day moving averages of confirmed COVID-19 cases were obtained for each city. Pearson's correlation coefficients showed significant correlations between COVID-19 cases and all meteorological parameters, except for total precipitation, with the strongest correlation with maximum wind speed (0.717 |
| Databáze: | OpenAIRE |
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