Environmental Variables and their Relation with the SARS-COV-2 Transmission: A Data Mining Approach

Authors

  • José Miguel Barrón-Adame Universidad Tecnológica del Suroeste de Guanajuato
  • Luis Alberto Holgado-Apaza Universidad Nacional del Altiplano
  • María Susana Acosta-Navarrete Universidad Tecnológica del Suroeste de Guanajuato
  • Rafael Guzmán-Cabrera Universidad de Guanajuato
  • Luis Beltran Palma-Ttito Universidad Nacional de San Antonio Abad del Cusco
  • Solinka Suma-Salas Universidad Nacional de Huancavelica
  • Ralph Miranda-Castillo Universidad Nacional Amazónica de Madre de Dios

DOI:

https://doi.org/10.13053/cys-26-1-4011

Keywords:

Data mining, COVID-19, environmental variables

Abstract

In the present paper are analyzed the correlations between the meteorological variables such as maximum temperature, minimum temperature, relative humidity, precipitation with the number of infections by SARS-CoV-2. The data set for the meteorological variables was obtained from web site of the National Service of Meteorology and Hydrology of Peru (SENAMHI), while the number of infections by SARS-CoV-2 was obtained from the denominated data positive by COVID 19 reported in web site by the Ministry of Health from Peru. After the preprocessing and the fusion of the data sets, it was obtained a data subset with 365 registers and 6 columns. To detect the correlations between the meteorological variables and the number of infections by SARS-CoV-2, the Spearman’s rank correlation coefficient was computed. The results show significant correlations between the variables minimum temperature and number of infections by SARS-CoV-2 for a rho=-0.45, p-valor=0.00<0.05; relative humidity and number of infections by SARS-CoV-2 for a rho=-0.24, p-valor=0.00<0.05; precipitation and number of infections by SARS-CoV-2 for a rho=-0.24, p-valor=0.00<0.05. According to the results obtained, we concluded that minimum temperatures facilitate the SARS-CoV-2 transmissibility. 

Author Biographies

José Miguel Barrón-Adame, Universidad Tecnológica del Suroeste de Guanajuato

Comité de Investigación

María Susana Acosta-Navarrete, Universidad Tecnológica del Suroeste de Guanajuato

Comité de investigación

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Published

2022-03-26

Issue

Vol. 26 No. 1 (2022): Recent Advances in Language & Knowledge Engineering (Guest editors: D. Pinto, B. Beltrán, A. Vázquez, D. Vilariño)

Section

Articles

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