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J Basic Clin Physiol Pharmacol ; 32(5): 935-942, 2021 May 21.
Artículo en Inglés | MEDLINE | ID: mdl-34018379

RESUMEN

OBJECTIVES: The role of the environment and climate in the transmission and case fatality rates of SARS-CoV-2 is still being investigated a year into the pandemic. Elevation and air quality are believed to be significant factors in the development of the pandemic, but the influence of additional environmental factors remains unclear. METHODS: We explored the relationship between the cumulative number of infections and mortality cases with climate (temperature, precipitation, solar radiation, water vapor pressure, wind), environmental data (elevation, normalized difference vegetation index or NDVI, particulate matter at 2.5 µm or PM2.5 and NO2 concentration), and population density in Peru. We use confirmed cases of infection from 1,287 districts and mortality in 479 districts, we used Spearman's correlations to assess the bivariate correlation between environmental and climatic factors with cumulative infection cases, cumulative mortality and case-fatality rate. We explored district cases within the ecozones of coast, sierra, high montane forest and lowland rainforest. RESULTS: Multiple linear regression models indicate elevation, mean solar radiation, air quality, population density and green vegetation cover, as a socioeconomic proxy, are influential factors in the distribution of infection and mortality of SARS-CoV-2 in Peru. Case-fatality rate was weakly associated with elevation. CONCLUSIONS: Our results also strongly suggest that exposure to poor air quality is a significant factor in the mortality of individuals below the age of 30. We conclude that environmental and climatic factors do play a significant role in the transmission and case fatality rates in Peru, however further study is required to see if these relationships are maintained over time.


Asunto(s)
COVID-19/epidemiología , Ambiente , Contaminación del Aire , COVID-19/mortalidad , COVID-19/transmisión , Clima , Humanos , Modelos Lineales , Perú/epidemiología , SARS-CoV-2 , Factores Socioeconómicos , Tiempo (Meteorología)
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