Vaccination against COVID-19 in Perú: Inequalities and associated factors.

Detalhes bibliográficos
Autor(a) principal: Miranda-Soberón, Ubaldo
Data de Publicação: 2023
Outros Autores: Rio-Mendoza, Jeny del, Pino-Arana, Isabel, Carhuancho-Arango, María, Beteta-Cabrera, Luciana
Tipo de documento: preprint
Idioma: spa
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/5372
Resumo: Objective: to search for inequalities in vaccination with two doses, and its relationship with social and economic variables, cases and deaths. Methods: Exploratory ecological study of a secondary source from the Ministry of Health of Peru and the United Nations Program, from March 2020 to January 2022. Results: We found a high positive correlation (p < 0.05) with the Regional Competitiveness Index (r = 0.72), and the State Density Index (r = 0.81); moderate with the Human Development Index, doctors per 1,000 inhabitants, cases and deaths per 100 000. In the three waves of the pandemic, the most affected were older adults; the third wave was higher. Mortality decreased during vaccination compared to before it; there was inequality with two doses between the regions. The Lorenz curve expressed inequality with the number of doses (GINI: One dose: 0,05, Two doses: 0,06, Three doses: 0,18). The concentration curve was similar to that of Lorenz through the Regional Competitiveness Index, with higher doses, inequality increased (One dose: 0,05, two doses: 0,06, three doses: 0,16); The same happened with the State Density Index (One dose: 0,05, two doses: 0.06, three doses: 0,17). Conclusion: Inequality in vaccination between regions was found, associated with socioeconomic factors in Peru.
id SCI-1_99b9bf07bc55a1c50a2552ad0e572492
oai_identifier_str oai:ops.preprints.scielo.org:preprint/5372
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling Vaccination against COVID-19 in Perú: Inequalities and associated factors.LA VACUNACIÓN CONTRA COVID-19 EN EL PERÚ: Desigualdades y factores asociados.COVID-19mass vaccinationsocioeconomics factorshealthcare disparitiespandemicsCOVID-19vacunación masivafactores socioeconómicosdisparidades en atención en saludObjective: to search for inequalities in vaccination with two doses, and its relationship with social and economic variables, cases and deaths. Methods: Exploratory ecological study of a secondary source from the Ministry of Health of Peru and the United Nations Program, from March 2020 to January 2022. Results: We found a high positive correlation (p < 0.05) with the Regional Competitiveness Index (r = 0.72), and the State Density Index (r = 0.81); moderate with the Human Development Index, doctors per 1,000 inhabitants, cases and deaths per 100 000. In the three waves of the pandemic, the most affected were older adults; the third wave was higher. Mortality decreased during vaccination compared to before it; there was inequality with two doses between the regions. The Lorenz curve expressed inequality with the number of doses (GINI: One dose: 0,05, Two doses: 0,06, Three doses: 0,18). The concentration curve was similar to that of Lorenz through the Regional Competitiveness Index, with higher doses, inequality increased (One dose: 0,05, two doses: 0,06, three doses: 0,16); The same happened with the State Density Index (One dose: 0,05, two doses: 0.06, three doses: 0,17). Conclusion: Inequality in vaccination between regions was found, associated with socioeconomic factors in Peru.Objetivo: buscar desigualdades en la vacunación con dos dosis, y su relación con variables sociales, económicas, casos y fallecidos. Métodos: Estudio ecológico exploratorio de fuente secundaria del Ministerio de Salud de Perú y Programa de las Naciones Unidas, de marzo 2020 a enero 2022. Resultados: Encontramos correlación positiva alta (p < 0,05) con el Índice de Competitividad Regional (r = 0,72), y el Índice de Densidad del Estado (r = 0,81); moderada con el Índice de Desarrollo Humano, médicos por 1000 habitantes, casos y fallecidos por 100 000. En las tres olas de pandemia, los más afectados fueron adultos mayores; fue más alta la tercera ola. La mortalidad disminuyó durante la vacunación en comparación con antes de ella; existió desigualdad con dos dosis entre las regiones. La curva de Lorenz expresó desigualdad con el número de dosis (GINI: Una dosis: 0,05, Dos dosis: 0,06, Tres dosis: 0,18). La curva de concentración presentó semejanza con la de Lorenz mediante el Índice de Competitividad Regional, a mayor dosis se incrementó la desigualdad (Una dosis: 0,05, dos dosis: 0,06, tres dosis: 0,16); igual sucedió con el Índice de Densidad del Estado (Una dosis: 0,05, dos dosis: 0,06, tres dosis: 0,17). Conclusión: Se encontró desigualdad en la vacunación entre las regiones, asociada con factores socioeconómicos en Perú.SciELO PreprintsSciELO PreprintsSciELO Preprints2023-01-06info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/537210.1590/SciELOPreprints.5372spahttps://preprints.scielo.org/index.php/scielo/article/view/5372/10380Copyright (c) 2023 Ubaldo Miranda-Soberón, Jeny del Rio-Mendoza, Isabel Pino-Arana, María Carhuancho-Arango, Luciana Beteta-Cabrerahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMiranda-Soberón, UbaldoRio-Mendoza, Jeny delPino-Arana, IsabelCarhuancho-Arango, MaríaBeteta-Cabrera, Lucianareponame:SciELO Preprintsinstname:SciELOinstacron:SCI2023-01-04T05:16:08Zoai:ops.preprints.scielo.org:preprint/5372Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2023-01-04T05:16:08SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Vaccination against COVID-19 in Perú: Inequalities and associated factors.
LA VACUNACIÓN CONTRA COVID-19 EN EL PERÚ: Desigualdades y factores asociados.
title Vaccination against COVID-19 in Perú: Inequalities and associated factors.
spellingShingle Vaccination against COVID-19 in Perú: Inequalities and associated factors.
Miranda-Soberón, Ubaldo
COVID-19
mass vaccination
socioeconomics factors
healthcare disparities
pandemics
COVID-19
vacunación masiva
factores socioeconómicos
disparidades en atención en salud
title_short Vaccination against COVID-19 in Perú: Inequalities and associated factors.
title_full Vaccination against COVID-19 in Perú: Inequalities and associated factors.
title_fullStr Vaccination against COVID-19 in Perú: Inequalities and associated factors.
title_full_unstemmed Vaccination against COVID-19 in Perú: Inequalities and associated factors.
title_sort Vaccination against COVID-19 in Perú: Inequalities and associated factors.
author Miranda-Soberón, Ubaldo
author_facet Miranda-Soberón, Ubaldo
Rio-Mendoza, Jeny del
Pino-Arana, Isabel
Carhuancho-Arango, María
Beteta-Cabrera, Luciana
author_role author
author2 Rio-Mendoza, Jeny del
Pino-Arana, Isabel
Carhuancho-Arango, María
Beteta-Cabrera, Luciana
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Miranda-Soberón, Ubaldo
Rio-Mendoza, Jeny del
Pino-Arana, Isabel
Carhuancho-Arango, María
Beteta-Cabrera, Luciana
dc.subject.por.fl_str_mv COVID-19
mass vaccination
socioeconomics factors
healthcare disparities
pandemics
COVID-19
vacunación masiva
factores socioeconómicos
disparidades en atención en salud
topic COVID-19
mass vaccination
socioeconomics factors
healthcare disparities
pandemics
COVID-19
vacunación masiva
factores socioeconómicos
disparidades en atención en salud
description Objective: to search for inequalities in vaccination with two doses, and its relationship with social and economic variables, cases and deaths. Methods: Exploratory ecological study of a secondary source from the Ministry of Health of Peru and the United Nations Program, from March 2020 to January 2022. Results: We found a high positive correlation (p < 0.05) with the Regional Competitiveness Index (r = 0.72), and the State Density Index (r = 0.81); moderate with the Human Development Index, doctors per 1,000 inhabitants, cases and deaths per 100 000. In the three waves of the pandemic, the most affected were older adults; the third wave was higher. Mortality decreased during vaccination compared to before it; there was inequality with two doses between the regions. The Lorenz curve expressed inequality with the number of doses (GINI: One dose: 0,05, Two doses: 0,06, Three doses: 0,18). The concentration curve was similar to that of Lorenz through the Regional Competitiveness Index, with higher doses, inequality increased (One dose: 0,05, two doses: 0,06, three doses: 0,16); The same happened with the State Density Index (One dose: 0,05, two doses: 0.06, three doses: 0,17). Conclusion: Inequality in vaccination between regions was found, associated with socioeconomic factors in Peru.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-06
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/5372
10.1590/SciELOPreprints.5372
url https://preprints.scielo.org/index.php/scielo/preprint/view/5372
identifier_str_mv 10.1590/SciELOPreprints.5372
dc.language.iso.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/5372/10380
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
_version_ 1797047831037476864