High altitudes, population density, and poverty: Unraveling the complexities of COVID-19 in Peru during the years 2020–2022

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Background: Several factors related to hospitalizations, morbidity, and mortality from COVID-19 have been identified. However, limited exploration has been done on geographic and socioeconomic factors that could significantly impact these outcomes. Objectives: This study aimed to determine whether a...

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Detalles Bibliográficos
Autores: Vizcardo, David A., R. Araníbar, Jorge, Munayco Escate, César Vladimir
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/669038
Enlace del recurso:https://doi.org/10.1016/j.pmedr.2023.102423
http://hdl.handle.net/10757/669038
Nivel de acceso:acceso abierto
Materia:Altitude
COVID-19
Peru
Population density
Poverty
SARS-CoV-2
COVID-19 Incidence
Case-fatality Rate
Population Density
Socioeconomic Factors
Multiple Group Ecological Design
Epidemiological Analysis
Random Effects Model
Statistical Significance
https://purl.org/pe-repo/ocde/ford#3.00.00
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dc.title.es_PE.fl_str_mv High altitudes, population density, and poverty: Unraveling the complexities of COVID-19 in Peru during the years 2020–2022
title High altitudes, population density, and poverty: Unraveling the complexities of COVID-19 in Peru during the years 2020–2022
spellingShingle High altitudes, population density, and poverty: Unraveling the complexities of COVID-19 in Peru during the years 2020–2022
Vizcardo, David A.
Altitude
COVID-19
Peru
Population density
Poverty
SARS-CoV-2
COVID-19 Incidence
Case-fatality Rate
Altitude
Population Density
Socioeconomic Factors
Multiple Group Ecological Design
Epidemiological Analysis
Random Effects Model
Statistical Significance
https://purl.org/pe-repo/ocde/ford#3.00.00
title_short High altitudes, population density, and poverty: Unraveling the complexities of COVID-19 in Peru during the years 2020–2022
title_full High altitudes, population density, and poverty: Unraveling the complexities of COVID-19 in Peru during the years 2020–2022
title_fullStr High altitudes, population density, and poverty: Unraveling the complexities of COVID-19 in Peru during the years 2020–2022
title_full_unstemmed High altitudes, population density, and poverty: Unraveling the complexities of COVID-19 in Peru during the years 2020–2022
title_sort High altitudes, population density, and poverty: Unraveling the complexities of COVID-19 in Peru during the years 2020–2022
author Vizcardo, David A.
author_facet Vizcardo, David A.
R. Araníbar, Jorge
Munayco Escate, César Vladimir
author_role author
author2 R. Araníbar, Jorge
Munayco Escate, César Vladimir
author2_role author
author
dc.contributor.author.fl_str_mv Vizcardo, David A.
R. Araníbar, Jorge
Munayco Escate, César Vladimir
dc.subject.es_PE.fl_str_mv Altitude
COVID-19
Peru
Population density
Poverty
SARS-CoV-2
COVID-19 Incidence
Case-fatality Rate
Altitude
Population Density
Socioeconomic Factors
Multiple Group Ecological Design
Epidemiological Analysis
Random Effects Model
Statistical Significance
topic Altitude
COVID-19
Peru
Population density
Poverty
SARS-CoV-2
COVID-19 Incidence
Case-fatality Rate
Altitude
Population Density
Socioeconomic Factors
Multiple Group Ecological Design
Epidemiological Analysis
Random Effects Model
Statistical Significance
https://purl.org/pe-repo/ocde/ford#3.00.00
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#3.00.00
description Background: Several factors related to hospitalizations, morbidity, and mortality from COVID-19 have been identified. However, limited exploration has been done on geographic and socioeconomic factors that could significantly impact these outcomes. Objectives: This study aimed to determine whether altitude, population density, and percentage of population in total poverty are associated with COVID-19 incidence per 1000 inhabitants and COVID-19 case-fatality rate in Peru, from 2020 to 2022. Methods: This study utilized a multiple group ecological design and relied on secondary databases containing daily records of COVID-19 positive cases and deaths due to COVID-19. An epidemiological analysis was performed, subsequently processed using a random effects model. Results: As of August 2022, Peru had recorded a total of 3,838,028 COVID-19 positive cases and 215,023 deaths due to COVID-19. Our analysis revealed a statistically significant negative association between altitude and COVID-19 incidence (aBETA: −0.004; Standard Error: 0.001; p < 0.05). Moreover, we observed a positive association between population density and incidence (aBETA: 0.006; Standard Error: 0.001; p < 0.05). However, we found no significant association between the percentage of population in total poverty and COVID-19 incidence. Conclusion: Our study found that an increase in altitude was associated with a decrease in COVID-19 incidence, while an increase in population density was associated with an increase in COVID-19 incidence. High altitude, population density and percentage of population in total poverty does not change case-fatality rate due to COVID-19. © 2023
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-10-22T12:09:07Z
dc.date.available.none.fl_str_mv 2023-10-22T12:09:07Z
dc.date.issued.fl_str_mv 2023-12-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/669038
dc.identifier.eissn.none.fl_str_mv 22113355
dc.identifier.journal.es_PE.fl_str_mv Preventive Medicine Reports
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url https://doi.org/10.1016/j.pmedr.2023.102423
http://hdl.handle.net/10757/669038
identifier_str_mv 22113355
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dc.publisher.es_PE.fl_str_mv Elsevier Inc.
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
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dc.source.volume.none.fl_str_mv 36
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spelling e3246a018f9ea8ceead4bd4cf65a1e93300374914945afc427fa88d5f9730d01ee230059e14642fe5dd04afc578f5a8fec7735500Vizcardo, David A.R. Araníbar, JorgeMunayco Escate, César Vladimir2023-10-22T12:09:07Z2023-10-22T12:09:07Z2023-12-01https://doi.org/10.1016/j.pmedr.2023.102423http://hdl.handle.net/10757/66903822113355Preventive Medicine Reports2-s2.0-85171659534SCOPUS_ID:85171659534S22113355230031450000 0001 2196 144X047xrr705Background: Several factors related to hospitalizations, morbidity, and mortality from COVID-19 have been identified. However, limited exploration has been done on geographic and socioeconomic factors that could significantly impact these outcomes. Objectives: This study aimed to determine whether altitude, population density, and percentage of population in total poverty are associated with COVID-19 incidence per 1000 inhabitants and COVID-19 case-fatality rate in Peru, from 2020 to 2022. Methods: This study utilized a multiple group ecological design and relied on secondary databases containing daily records of COVID-19 positive cases and deaths due to COVID-19. An epidemiological analysis was performed, subsequently processed using a random effects model. Results: As of August 2022, Peru had recorded a total of 3,838,028 COVID-19 positive cases and 215,023 deaths due to COVID-19. Our analysis revealed a statistically significant negative association between altitude and COVID-19 incidence (aBETA: −0.004; Standard Error: 0.001; p < 0.05). Moreover, we observed a positive association between population density and incidence (aBETA: 0.006; Standard Error: 0.001; p < 0.05). However, we found no significant association between the percentage of population in total poverty and COVID-19 incidence. Conclusion: Our study found that an increase in altitude was associated with a decrease in COVID-19 incidence, while an increase in population density was associated with an increase in COVID-19 incidence. High altitude, population density and percentage of population in total poverty does not change case-fatality rate due to COVID-19. © 2023Revisión por paresODS 3: Salud y BienestarODS 10: Reducción de las DesigualdadesODS 11: Ciudades y Comunidades Sosteniblesapplication/pdfengElsevier Inc.https://www.sciencedirect.com/science/article/pii/S2211335523003145info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Universidad Peruana de Ciencias Aplicadas (UPC)Repositorio Academico - UPCPreventive Medicine Reports36reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCAltitudeCOVID-19PeruPopulation densityPovertySARS-CoV-2COVID-19 IncidenceCase-fatality RateAltitudePopulation DensitySocioeconomic FactorsMultiple Group Ecological DesignEpidemiological AnalysisRandom Effects ModelStatistical Significancehttps://purl.org/pe-repo/ocde/ford#3.00.00High altitudes, population density, and poverty: Unraveling the complexities of COVID-19 in Peru during the years 2020–2022info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a12742023-10-22T12:09:08ZPublicationTEXT1-s2.0-S2211335523003145-main.pdf.txt1-s2.0-S2211335523003145-main.pdf.txtExtracted texttext/plain39923https://upc.dspace7.openrepository.com/bitstreams/b4eb4e42-7bca-5601-9637-0bf088f891d8/downloadec7ec7904b52cc66de0cfbc6af301154MD54CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://upc.dspace7.openrepository.com/bitstreams/f35ce3d3-a53e-5911-ad58-8faa2342411f/download4460e5956bc1d1639be9ae6146a50347MD52THUMBNAIL1-s2.0-S2211335523003145-main.pdf.jpg1-s2.0-S2211335523003145-main.pdf.jpgGenerated Thumbnailimage/jpeg92378https://upc.dspace7.openrepository.com/bitstreams/20dde7cd-bdab-50e6-bf73-97f69d8c3338/download620e45f1e3a849993c620ace6f35967cMD55LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://upc.dspace7.openrepository.com/bitstreams/f2ba533f-d302-59b8-84c3-ed427b9511f6/download8a4605be74aa9ea9d79846c1fba20a33MD53ORIGINAL1-s2.0-S2211335523003145-main.pdf1-s2.0-S2211335523003145-main.pdfapplication/pdf3369710https://upc.dspace7.openrepository.com/bitstreams/ac132718-64ad-5b48-af2b-698e6675fe73/download2fd861bc5cab122621e0fe279e8d4766MD5110757/669038oai:upc.dspace7.openrepository.com:10757/6690382026-02-17 17:45:54.364http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://upc.dspace7.openrepository.comRepositorio académico upcrepositorioacademico@upc.edu.pe
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