About: Temperature significantly changes COVID-19 transmission in (sub)tropical cities of Brazil

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Temperature significantly changes COVID-19 transmission in (sub)tropical cities of Brazil
Creator	Bermejo, Paulo Nadler Prata, David Prata, David Rodrigues, Waldecy
Source	Elsevier; Medline; PMC
abstract	Abstract The coronavirus disease 2019 (COVID-19) outbreak has become a severe public health issue. The novelty of the virus prompts a search for understanding of how ecological factors affect the transmission and survival of the virus. Several studies have robustly identified a relationship between temperature and the number of cases. However, there is no specific study for a tropical climate such as Brazil. This work aims to determine the relationship of temperature to COVID-19 infection for the state capital cities of Brazil. Cumulative data with the daily number of confirmed cases was collected from February 27 to April 1, 2020, for all 27 state capital cities of Brazil affected by COVID-19. A generalized additive model (GAM) was applied to explore the linear and nonlinear relationship between annual average temperature compensation and confirmed cases. Also, a polynomial linear regression model was proposed to represent the behavior of the growth curve of COVID-19 in the capital cities of Brazil. The GAM dose-response curve suggested a negative linear relationship between temperatures and daily cumulative confirmed cases of COVID-19 in the range from 16.8 °C to 27.4 °C. Each 1 °C rise of temperature was associated with a −4.8951% (t = −2.29, p = 0.0226) decrease in the number of daily cumulative confirmed cases of COVID-19. A sensitivity analysis assessed the robustness of the results of the model. The predicted R-squared of the polynomial linear regression model was 0.81053. In this study, which features the tropical temperatures of Brazil, the variation in annual average temperatures ranged from 16.8 °C to 27.4 °C. Results indicated that temperatures had a negative linear relationship with the number of confirmed cases. The curve flattened at a threshold of 25.8 °C. There is no evidence supporting that the curve declined for temperatures above 25.8 °C. The study had the goal of supporting governance for healthcare policymakers.
has issue date	2020-04-25(xsd:dateTime)
bibo:doi	10.1016/j.scitotenv.2020.138862
bibo:pmid	32361443
has license	els-covid
sha1sum (hex)	cc7a5fcd4ce8ced4b5005d4ea8d09da2fcdf9f0a
schema:url	https://doi.org/10.1016/j.scitotenv.2020.138862
resource representing a document's title	Temperature significantly changes COVID-19 transmission in (sub)tropical cities of Brazil
has PubMed Central identifier	PMC7182516
has PubMed identifier	32361443
schema:publication	Sci Total Environ
resource representing a document's body	covid:cc7a5fcd4ce8ced4b5005d4ea8d09da2fcdf9f0a#body_text
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