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: | , , |
|---|---|
| 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 |
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2023 |
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2023-10-22T12:09:07Z |
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2023-10-22T12:09:07Z |
| dc.date.issued.fl_str_mv |
2023-12-01 |
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info:eu-repo/semantics/article |
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http://purl.org/coar/version/c_970fb48d4fbd8a1274 |
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article |
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https://doi.org/10.1016/j.pmedr.2023.102423 |
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http://hdl.handle.net/10757/669038 |
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22113355 |
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Preventive Medicine Reports |
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2-s2.0-85171659534 |
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eng |
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eng |
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https://www.sciencedirect.com/science/article/pii/S2211335523003145 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Elsevier Inc. |
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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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