ea3b707269b536b36e8821badd9aa92f pmc_33916590.pdf 52ef3424b888ef44259207ff4166886f6f7192f2 pmc_33916590.pdf 478830699bfdd30e5a89bcb6d4454d40927694bbb6fe21e9179991c1d2cdd3a1 pmc_33916590.pdf Title: Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study Subject: 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 NO2 and PM10), 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. Keywords: COVID-19; air pollutants; cardiovascular diseases; psychological disorders; cancer; agri-food industry; land use and land cover data Author: Quim Zaldo-Aubanell, Ferran Campillo i López, Albert Bach, Isabel Serra, Joan Olivet-Vila, Marc Saez, David Pino and Roser Maneja Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Thu Apr 8 10:13:37 2021 CEST ModDate: Fri Apr 9 05:51:50 2021 CEST Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 20 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 1692052 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- GUFXRM+VnURWPalladioL Type 1 Custom yes yes no 10 0 LEEXRH+URWPalladioL-Ital Type 1 Custom yes yes no 15 0 VTUJHV+URWPalladioL-Bold Type 1 Custom yes yes no 20 0 XJAJAH+URWPalladioL-Roma Type 1 Custom yes yes no 24 0 CTEPUN+CMSY10 Type 1 Builtin yes yes no 28 0 SOZKOC+VnURWPalladioL-Bold Type 1 Custom yes yes no 32 0 LWQXII+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 40 0 IRWHZX+TimesNewRomanPSMT Type 1C WinAnsi yes yes no 43 0 MCBCCI+SourceSansRoman-Regular Type 1C Custom yes yes no 65 0 MCBCCM+SourceSansRoman.613wght Type 1C Custom yes yes no 69 0 MCBCCO+SourceSansRoman-Bold Type 1C Custom yes yes no 73 0 OVNEXW+EURM10 Type 1 Builtin yes yes no 91 0 ZPGVCH+CMEX10 Type 1 Builtin yes yes no 101 0 YYXLYG+PazoMath-Italic Type 1 Builtin yes yes no 105 0 GIGFZE+CMR10 Type 1 Builtin yes yes no 109 0 QQXUPP+PazoMath Type 1 Builtin yes yes no 113 0 ASSBYR+URWPalladioL-BoldItal Type 1 Custom yes yes no 120 0 OONAOL+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 140 0 OONAPN+PalatinoLinotype TrueType WinAnsi yes yes no 143 0 OONBAO+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 146 0 OONAOL+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 161 0 OONAPN+PalatinoLinotype TrueType WinAnsi yes yes no 164 0 OONBAO+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 167 0 OONAOL+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 181 0 OONAPN+PalatinoLinotype TrueType WinAnsi yes yes no 184 0 OONBAO+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 187 0 SUEOXN+VnURWPalladioL-Italic Type 1 Custom yes yes no 210 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2021-09-11 03:26:56 CEST RepresentationInformation: pmc_33916590.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2021-05-03 03:50:43 CEST Size: 1692052 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 531 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@13c27452 Item: Title: Materials and Methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@262b2c86 Children: Item: Title: COVID-19 Cases and Deaths Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@371a67ec Item: Title: Comorbidities Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@5ed828d Item: Title: Demographic and Socioeconomic Data Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@50d0686 Item: Title: Air Pollution Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7a3d45bd Item: Title: Agri-Food Industry Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1e7c7811 Item: Title: Land Use and Land Cover Data Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@77ec78b9 Item: Title: Statistical Analysis Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1a3869f4 Item: Title: Results Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@a38d7a3 Item: Title: Discussion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@77f99a05 Children: Item: Title: Demographics Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@63440df3 Item: Title: Socioeconomics Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@3aeaafa6 Item: Title: Comorbidities Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@76a3e297 Item: Title: Air Pollution Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@4d3167f4 Item: Title: Forest, Meat, and Leather and Fur Industry Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@ed9d034 Item: Title: Land Use and Cover Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@6121c9d6 Item: Title: Limitations Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@87f383f Item: Title: Conclusions Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@4eb7f003 Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@eafc191 Info: Title: Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study Author: Quim Zaldo-Aubanell, Ferran Campillo i López, Albert Bach, Isabel Serra, Joan Olivet-Vila, Marc Saez, David Pino and Roser Maneja Subject: 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 NO2 and PM10), 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. 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560, 387 Annotation: Subtype: Link Rect: 56, 364, 157, 375 Checksum: d6895841 Type: CRC32 Checksum: ea3b707269b536b36e8821badd9aa92f Type: MD5 Checksum: 52ef3424b888ef44259207ff4166886f6f7192f2 Type: SHA-1