Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study

The heterogenous distribution of both COVID-19 incidence and mortality in Catalonia (Spain) during the firsts moths of the pandemic suggests that differences in baseline risk factors across regions might play a relevant role in modulating the outcome of the pandemic. This paper investigates the asso...

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Main Authors: Quim Zaldo-Aubanell, Ferran Campillo i López, Albert Bach, Isabel Serra, Joan Olivet-Vila, Marc Saez, David Pino, Roser Maneja
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/18/7/3768
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spelling doaj-1cc9a2e633fb44d4a50b3c5f60b98b852021-04-04T23:01:14ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012021-04-01183768376810.3390/ijerph18073768Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based StudyQuim Zaldo-Aubanell0Ferran Campillo i López1Albert Bach2Isabel Serra3Joan Olivet-Vila4Marc Saez5David Pino6Roser Maneja7Environment and Human Health Laboratory (EH2 Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, SpainEnvironment and Human Health Laboratory (EH2 Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, SpainEnvironment and Human Health Laboratory (EH2 Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, SpainCentre de Recerca Matemàtica, Edifici C, 08193 Bellaterra, SpainHealth Promotion Service in Girona, Agency of Public Health of Catalonia, Generalitat of Catalonia, 17003 Girona, SpainResearch Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, SpainDepartament of Physics, Universitat Politècnica de Catalunya·BarcelonaTech, Esteve Terrades, 5, 08034 Castelldefels, SpainEnvironment and Human Health Laboratory (EH2 Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, SpainThe heterogenous distribution of both COVID-19 incidence and mortality in Catalonia (Spain) during the firsts moths of the pandemic suggests that differences in baseline risk factors across regions might play a relevant role in modulating the outcome of the pandemic. This paper investigates the associations between both COVID-19 incidence and mortality and air pollutant concentration levels, and screens the potential effect of the type of agri-food industry and the overall land use and cover (LULC) at area level. We used a main model with demographic, socioeconomic and comorbidity covariates highlighted in previous research as important predictors. This allowed us to take a glimpse of the independent effect of the explanatory variables when controlled for the main model covariates. Our findings are aligned with previous research showing that the baseline features of the regions in terms of general health status, pollutant concentration levels (here NO<sub>2</sub> and PM<sub>10</sub>), type of agri-food industry, and type of land use and land cover have modulated the impact of COVID-19 at a regional scale. This study is among the first to explore the associations between COVID-19 and the type of agri-food industry and LULC data using a population-based approach. The results of this paper might serve as the basis to develop new research hypotheses using a more comprehensive approach, highlighting the inequalities of regions in terms of risk factors and their response to COVID-19, as well as fostering public policies towards more resilient and safer environments.https://www.mdpi.com/1660-4601/18/7/3768COVID-19air pollutantscardiovascular diseasespsychological disorderscanceragri-food industry
collection DOAJ
language English
format Article
sources DOAJ
author Quim Zaldo-Aubanell
Ferran Campillo i López
Albert Bach
Isabel Serra
Joan Olivet-Vila
Marc Saez
David Pino
Roser Maneja
spellingShingle Quim Zaldo-Aubanell
Ferran Campillo i López
Albert Bach
Isabel Serra
Joan Olivet-Vila
Marc Saez
David Pino
Roser Maneja
Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study
International Journal of Environmental Research and Public Health
COVID-19
air pollutants
cardiovascular diseases
psychological disorders
cancer
agri-food industry
author_facet Quim Zaldo-Aubanell
Ferran Campillo i López
Albert Bach
Isabel Serra
Joan Olivet-Vila
Marc Saez
David Pino
Roser Maneja
author_sort Quim Zaldo-Aubanell
title Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study
title_short Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study
title_full Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study
title_fullStr Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study
title_full_unstemmed Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study
title_sort community risk factors in the covid-19 incidence and mortality in catalonia (spain). a population-based study
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1661-7827
1660-4601
publishDate 2021-04-01
description The heterogenous distribution of both COVID-19 incidence and mortality in Catalonia (Spain) during the firsts moths of the pandemic suggests that differences in baseline risk factors across regions might play a relevant role in modulating the outcome of the pandemic. This paper investigates the associations between both COVID-19 incidence and mortality and air pollutant concentration levels, and screens the potential effect of the type of agri-food industry and the overall land use and cover (LULC) at area level. We used a main model with demographic, socioeconomic and comorbidity covariates highlighted in previous research as important predictors. This allowed us to take a glimpse of the independent effect of the explanatory variables when controlled for the main model covariates. Our findings are aligned with previous research showing that the baseline features of the regions in terms of general health status, pollutant concentration levels (here NO<sub>2</sub> and PM<sub>10</sub>), type of agri-food industry, and type of land use and land cover have modulated the impact of COVID-19 at a regional scale. This study is among the first to explore the associations between COVID-19 and the type of agri-food industry and LULC data using a population-based approach. The results of this paper might serve as the basis to develop new research hypotheses using a more comprehensive approach, highlighting the inequalities of regions in terms of risk factors and their response to COVID-19, as well as fostering public policies towards more resilient and safer environments.
topic COVID-19
air pollutants
cardiovascular diseases
psychological disorders
cancer
agri-food industry
url https://www.mdpi.com/1660-4601/18/7/3768
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