High altitudes, population density, and poverty: Unraveling the complexities of COVID-19 in Peru during the years 2020–2022
Descripción del Articulo
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...
Autores: | , , |
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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: | 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 |
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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 |
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 |
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 |
format |
article |
dc.identifier.doi.none.fl_str_mv |
10.1016/j.pmedr.2023.102423 |
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 |
dc.identifier.eid.none.fl_str_mv |
2-s2.0-85171659534 |
dc.identifier.scopusid.none.fl_str_mv |
SCOPUS_ID:85171659534 |
dc.identifier.pii.none.fl_str_mv |
S2211335523003145 |
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identifier_str_mv |
10.1016/j.pmedr.2023.102423 22113355 Preventive Medicine Reports 2-s2.0-85171659534 SCOPUS_ID:85171659534 S2211335523003145 0000 0001 2196 144X 047xrr705 |
url |
http://hdl.handle.net/10757/669038 |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.relation.url.es_PE.fl_str_mv |
https://www.sciencedirect.com/science/article/pii/S2211335523003145 |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.*.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.format.es_PE.fl_str_mv |
application/pdf |
dc.publisher.es_PE.fl_str_mv |
Elsevier Inc. |
dc.source.es_PE.fl_str_mv |
Universidad Peruana de Ciencias Aplicadas (UPC) Repositorio Academico - UPC |
dc.source.none.fl_str_mv |
reponame:UPC-Institucional instname:Universidad Peruana de Ciencias Aplicadas instacron:UPC |
instname_str |
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UPC-Institucional |
dc.source.journaltitle.none.fl_str_mv |
Preventive Medicine Reports |
dc.source.volume.none.fl_str_mv |
36 |
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e3246a018f9ea8ceead4bd4cf65a1e93300374914945afc427fa88d5f9730d01ee230059e14642fe5dd04afc578f5a8fec7735500Vizcardo, David A.R. Araníbar, JorgeMunayco Escate, César Vladimir2023-10-22T12:09:07Z2023-10-22T12:09:07Z2023-12-0110.1016/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/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://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 SignificanceHigh altitudes, population density, and poverty: Unraveling the complexities of COVID-19 in Peru during the years 2020–2022info:eu-repo/semantics/article2023-10-22T12:09:08ZTHUMBNAIL1-s2.0-S2211335523003145-main.pdf.jpg1-s2.0-S2211335523003145-main.pdf.jpgGenerated Thumbnailimage/jpeg92378https://repositorioacademico.upc.edu.pe/bitstream/10757/669038/5/1-s2.0-S2211335523003145-main.pdf.jpg620e45f1e3a849993c620ace6f35967cMD55falseTEXT1-s2.0-S2211335523003145-main.pdf.txt1-s2.0-S2211335523003145-main.pdf.txtExtracted texttext/plain39923https://repositorioacademico.upc.edu.pe/bitstream/10757/669038/4/1-s2.0-S2211335523003145-main.pdf.txtec7ec7904b52cc66de0cfbc6af301154MD54falseLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/669038/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD53falseCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorioacademico.upc.edu.pe/bitstream/10757/669038/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52falseORIGINAL1-s2.0-S2211335523003145-main.pdf1-s2.0-S2211335523003145-main.pdfapplication/pdf3369710https://repositorioacademico.upc.edu.pe/bitstream/10757/669038/1/1-s2.0-S2211335523003145-main.pdf2fd861bc5cab122621e0fe279e8d4766MD51true10757/669038oai:repositorioacademico.upc.edu.pe:10757/6690382024-07-19 00:42:50.223Repositorio académico upcupc@openrepository.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 |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).