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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Distinct weather conditions and human mobility impacts on the SARS-CoV-2 outbreak in Colombia: Application of an artificial neural network approach

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Author(s):
Gomez-Herrera, Santiago [1] ; Gontijo, Erik Sartori Jeunon [1] ; Enriquez-Delgado, Sandra M. [2] ; Rosa, Andre H. [1]
Total Authors: 4
Affiliation:
[1] Sao Paulo State Univ UNESP, Inst Sci & Technol, Av Tres Marco, 511, Alto Boa Vista, BR-18087180 Sorocaba, SP - Brazil
[2] EAFIT Univ, Sch Sci, Dept Earth Sci, Medellin - Colombia
Total Affiliations: 2
Document type: Journal article
Source: INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH; v. 238, SEP 2021.
Web of Science Citations: 0
Abstract

The coronavirus disease 2019 (COVID-19) is still spreading fast in several tropical countries after more than one year of pandemic. In this scenario, the effects of weather conditions that can influence the spread of the virus are not clearly understood. This study aimed to analyse the influence of meteorological (temperature, wind speed, humidity and specific enthalpy) and human mobility variables in six cities (Barranquilla, Bogota, Cali, Cartagena, Leticia and Medellin) from different biomes in Colombia on the coronavirus dissemination from March 25, 2020, to January 15, 2021. Rank correlation tests and a neural network named self-organising map (SOM) were used to investigate similarities in the dynamics of the disease in the cities and check possible relationships among the variables. Two periods were analysed (quarantine and post-quarantine) for all cities together and individually. The data were classified in seven groups based on city, date and biome using SOM. The virus transmission was most affected by mobility variables, especially in the post-quarantine. The meteorological variables presented different behaviours on the virus transmission in different biogeographical regions. The wind speed was one of the factors connected with the highest contamination rate recorded in Leticia. The highest new daily cases were recorded in Bogota where cold/dry conditions (average temperature <14 degrees C and absolute humidity >9 g/m(3)) favoured the contagions. In contrast, Barranquilla, Cartagena and Leticia presented an opposite trend, especially with the absolute humidity >22 g/m(3). The results support the implementation of better local control measures based on the particularities of tropical regions. (AU)

FAPESP's process: 19/06800-5 - Screening of persistent organic pollutants emerging in the waste stream: emphasis on brominated flame retardants (BFRs) and perfluoroalkyl substances (PFASs)
Grantee:André Henrique Rosa
Support Opportunities: Scholarships abroad - Research