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Correlation between weather, population size and COVID-19 pandemic: a study of Brazilian capitals

Journal: Journal of Health and Biological Sciences (Vol.8, No. 1)

Publication Date:

Authors : ; ;

Page : 1-5

Keywords : SARS-CoV-2; Weather; Temperature; Humidity; Population;

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Objective: To analyze the correlation between weather, population size and cases of COVID-19 in the capitals of Brazil. Methods: All confirmed cases of COVID-19 infection, from the first confirmed case from February 26 until May 01, 2020 were included. For weather variables, average temperature (°C), dew point (°C), average humidity (%) and wind speed (m s-1) were extracted from the Instituto de Meteorologia database. The population size of each capital was used as a control variable, with data obtained from Instituto Brasileiro de Geografia e Estatística. Spearman rank correlation tests were utilized to examine the correlation between variables. Results: The analysis showed a significant and strong positive correlation between the total cases of COVID-19 and the population size (p<0,01). There was a significant positive correlation with the average humidity of the air and cumulative cases (p<0,05). There was no significant correlation with other climate variables. Conclusion: Our results confront some expectations commented around the world about a possible seasonality of COVID-19 during periods of low humidity and can assist government and health authorities in decision making to control the pandemic. Studies in other regions are important to strengthen the findings.

Last modified: 2020-07-08 00:26:18