Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/13077
Short-term associations of air pollution and meteorological variables on the incidence and severity of COVID-19 in Madrid (Spain): a time series study
Title: Short-term associations of air pollution and meteorological variables on the incidence and severity of COVID-19 in Madrid (Spain): a time series study
Authors: Linares Gil, CristinaBelda Esplugues, FernandoAutor AEMETLópez Bueno, José AntonioLuna Rico, Yolanda ORCID RESEARCHERID SCOPUSID Autor AEMETSánchez Martínez, GerardoHervella, Beatriz RESEARCHERID Autor AEMETCulqui Lévano, Dante R.Díaz Jiménez, Julio
Keywords: COVID-19; Temperature; Air pollution; Hospital admissions; Incidence rate
Issue Date: 2021
Publisher: Springer
Citation: Environmental Sciences Europe. 2021, 33 (107), p. 1-13
Publisher version: https://doi.org/10.1186/s12302-021-00548-1
Abstract: There are studies that analyze the role of meteorological variables on the incidence and severity of COVID-19, and others that explore the role played by air pollutants, but currently there are very few studies that analyze the impact of both efects together. This is the aim of the current study. We analyzed data corresponding to the period from February 1 to May 31, 2020 for the City of Madrid. As meteorological variables, maximum daily temperature (Tmax) in ºC and mean daily absolute humidity (AH) in g/m3 were used corresponding to the mean values recorded by all Spanish Meteorological Agency (AEMET) observatories in the Madrid region. Atmospheric pollutant data for PM10 and NO2 in µg/m3 for the Madrid region were provided by the Spanish Environmental Ministry (MITECO). Daily incidence, daily hospital admissions per 100.000 inhabitants, daily ICU admissions and daily death rates per million inhabitants were used as dependent variables. These data were provided by the ISCIII Spanish National Epidemiology Center. Generalized linear models with Poisson link were performed between the dependent and independent variables, controlling for seasonality, trend and the autoregressive nature of the series.
Sponsorship : The authors gratefully acknowledge Project ENPY 221/20 grant from the Carlos III Institute of Health.
URI: http://hdl.handle.net/20.500.11765/13077
ISSN: 2190-4707
2190-4715
Appears in Collections:Artículos científicos 2019-2022


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