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• W4361287217 abstract "Studies have shown that climate may affect the distribution of coronavirus disease (COVID-19) and its incidence and fatality rates. Here, we applied an ensemble niche modeling approach to project the climatic suitability of COVID-19 cases in Brazil. We estimated the cumulative incidence, mortality rate, and fatality rate of COVID-19 between 2020 and 2021. Seven statistical algorithms (MAXENT, MARS, RF, FDA, CTA, GAM, and GLM) were selected to model the climate suitability for COVID-19 cases from diverse climate data, including temperature, precipitation, and humidity. The annual temperature range and precipitation seasonality showed a relatively high contribution to the models, partially explaining the distribution of COVID-19 cases in Brazil based on the climatic suitability of the territory. We observed a high probability of climatic suitability for high incidence in the North and South regions and a high probability of mortality and fatality rates in the Midwest and Southeast regions. Despite the social, viral, and human aspects regulating COVID-19 cases and death distribution, we suggest that climate may play an important role as a co-factor in the spread of cases. In Brazil, there are regions with a high probability that climatic suitability will contribute to the high incidence and fatality rates of COVID-19 in 2020 and 2021." @default.
• W4361287217 created "2023-03-31" @default.
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• W4361287217 date "2023-03-29" @default.
• W4361287217 modified "2023-09-26" @default.
• W4361287217 title "Modeling the Climatic Suitability of COVID-19 Cases in Brazil" @default.
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• W4361287217 doi "https://doi.org/10.3390/tropicalmed8040198" @default.
• W4361287217 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37104323" @default.
• W4361287217 hasPublicationYear "2023" @default.
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