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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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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