Prevalence and factors associated with the intention of vaccination against COVID-19 in Peru
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | preprint |
Idioma: | spa |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/1879 |
Resumo: | Objective: To determine the prevalence and factors associated with the intention to vaccinate (ITV) against COVID-19 in Peru. Material and methods: Analytical cross-sectional study using the survey conducted by the University of Maryland, USA, on Facebook. The dependent variables were ITV. Crude and adjusted prevalence ratios (PR) were calculated, with their 95% confidence intervals (95% CI) using generalized linear models of the Poisson family, to evaluate the association of sociodemographic variables, compliance with community mitigation strategies, symptoms of COVID-19, mental health and acceptance of vaccination before the recommendation (AVR) by various actors and health authorities, with the ITV. Results: Data from 17,162 adults were analyzed. The overall prevalence of ITV was 74.9%. A lower prevalence of IDV was associated with the female sex, living in a town or rural area and the AVR of politicians, PR=0.95 (95%CI:0.94-0.96), PR=0.95 (95%CI:0.91-0.99), PR=0.90 (95%CI:0.86-0.93) and PR=0.89 (95%CI:0.87-0.91); respectively. Conversely, having COVID-19 symptoms, economic insecurity, fear of a family member getting sick from COVID-19, depressive symptoms, and the AVR of family and friends, healthcare workers, world health organization and government officials partnered with higher prevalence of ITV, PR=1.05 (95%CI:1.03-1.08), PR=1.03 (95%CI:1.01-1.06), PR=1.48 (95%CI:1.35-1.63), PR = 1.03 (95%CI:1.01-1.06), PR=1.10 (95%CI: 1.08-1.12), PR = 1.29 (95%CI: 1.26-1.32), PR=1.34 (95%CI: 1.29-1.40) and PR=1.18 (95%CI: 1.15-1.21); respectively. Conclusion: Three-quarters of the respondents manifest ITV. There are potentially modifiable factors that could improve vaccine acceptance. |
id |
SCI-1_8fba2804e91e114d1d02c553a5a9b472 |
---|---|
oai_identifier_str |
oai:ops.preprints.scielo.org:preprint/1879 |
network_acronym_str |
SCI-1 |
network_name_str |
SciELO Preprints |
repository_id_str |
|
spelling |
Prevalence and factors associated with the intention of vaccination against COVID-19 in PeruPrevalencia y factores asociados a la intención de vacunación contra la COVID-19 en el PerúPrevalência e fatores associados à intenção de vacinação contra COVID-19 no PeruInfecciones por CoronavirusBetacoronavirusVacunaciónNegativa a la VacunaciónPerúBetacoronavirusRecusa de Vacinação PeruInfecções por Coronavirus Vacinação Coronavirus InfectionsSARS-CoV-2COVID-19 VaccinesVaccinationRefusal VaccinationPeruObjective: To determine the prevalence and factors associated with the intention to vaccinate (ITV) against COVID-19 in Peru. Material and methods: Analytical cross-sectional study using the survey conducted by the University of Maryland, USA, on Facebook. The dependent variables were ITV. Crude and adjusted prevalence ratios (PR) were calculated, with their 95% confidence intervals (95% CI) using generalized linear models of the Poisson family, to evaluate the association of sociodemographic variables, compliance with community mitigation strategies, symptoms of COVID-19, mental health and acceptance of vaccination before the recommendation (AVR) by various actors and health authorities, with the ITV. Results: Data from 17,162 adults were analyzed. The overall prevalence of ITV was 74.9%. A lower prevalence of IDV was associated with the female sex, living in a town or rural area and the AVR of politicians, PR=0.95 (95%CI:0.94-0.96), PR=0.95 (95%CI:0.91-0.99), PR=0.90 (95%CI:0.86-0.93) and PR=0.89 (95%CI:0.87-0.91); respectively. Conversely, having COVID-19 symptoms, economic insecurity, fear of a family member getting sick from COVID-19, depressive symptoms, and the AVR of family and friends, healthcare workers, world health organization and government officials partnered with higher prevalence of ITV, PR=1.05 (95%CI:1.03-1.08), PR=1.03 (95%CI:1.01-1.06), PR=1.48 (95%CI:1.35-1.63), PR = 1.03 (95%CI:1.01-1.06), PR=1.10 (95%CI: 1.08-1.12), PR = 1.29 (95%CI: 1.26-1.32), PR=1.34 (95%CI: 1.29-1.40) and PR=1.18 (95%CI: 1.15-1.21); respectively. Conclusion: Three-quarters of the respondents manifest ITV. There are potentially modifiable factors that could improve vaccine acceptance.Objetivo: Determinar la prevalencia y factores asociados a la intención de vacunación (IDV) contra la COVID-19 en el Perú. Material y métodos: Estudio transversal analítico utilizando la encuesta realizada por Universidad de Maryland, EUA, en Facebook. Las variables dependientes fueron la IDV. Se calcularon razones de prevalencia (RP) crudas y ajustadas, con sus intervalos de confianza al 95% (IC95%), mediante modelos lineales generalizados de la familia Poisson, para evaluar la asociación de variables sociodemográficas, cumplimiento de estrategias comunitarias de mitigación, síntomas de COVID-19, salud mental y aceptación de la vacunación ante la recomendación (AVR) por diversos actores y autoridades sanitarias, con la IDV. Resultados: Se analizaron los datos de 17.162 adultos. La prevalencia general de IDV fue de 74,9%. Se asoció a menor prevalencia de IDV el sexo femenino, vivir en un pueblo o zona rural y la AVR de políticos, RP=0,95 (IC95%:0,94-0,96), RP=0,95 (IC95%:0,91-0,99), RP=0,90 (IC95%:0,86-0,93) y RP=0,89 (IC95%:0,87-0,91); respectivamente. Contrariamente, tener síntomas de COVID-19, inseguridad económica, miedo a que un familiar enferme de COVID-19, síntomas depresivos y la AVR de familiares y amigos, trabajadores de la salud, organización mundial de la salud y funcionarios del gobierno se asociaron con mayor prevalencia de IDV, RP=1,05 (IC95%:1,03-1,08), RP=1,03 (IC95%:1,01-1,06), RP=1,48 (IC95%:1,35-1,63), RP=1,03 (IC95%:1,01-1,06), RP=1,10 (IC95%:1,08-1,12), RP=1,29 (IC95%:1,26-1,32), RP=1,34 (IC95%:1,29-1,40) y RP=1,18 (IC95%:1,15-1,21); respectivamente. Conclusión: Tres cuartas partes de los encuestados manifiestan IDV. Existen factores potencialmente modificables que podrían mejorar la aceptación de la vacuna.Objetivo: Determinar a prevalência e os fatores associados à intenção de vacinar (IDV) contra COVID-19 no Peru.Material e métodos: Estudo transversal analítico a partir de survey realizado pela University of Maryland, EUA, no Facebook. As variáveis dependentes foram IDV. Foram calculadas razões de prevalência (RP) brutas e ajustadas, com seus intervalos de confiança de 95% (IC 95%), utilizando modelos lineares generalizados da família Poisson, para avaliar a associação de variáveis sociodemográficas, adesão a estratégias de mitigação da comunidade, sintomas de COVID- 19, saúde mental e aceitação da vacinação antes da recomendação (AVR) por diversos atores e autoridades sanitárias, junto ao IDV.Resultados: Dados de 17.162 adultos foram analisados. A prevalência geral de IDV foi de 74,9%. A menor prevalência de IDV foi associada ao sexo feminino, residente em cidade ou zona rural e ao AVR de políticos, RP = 0,95 (IC95%: 0,94-0,96), RP = 0,95 (IC95%: 0,91-0,99) , RP = 0,90 (IC 95%: 0,86-0,93) e RP = 0,89 (IC 95%: 0,87-0,91); respectivamente. Por outro lado, ter sintomas de COVID-19, insegurança econômica, medo de um membro da família ficar doente por causa de COVID-19, sintomas depressivos e AVR de familiares e amigos, profissionais de saúde, organização mundial de saúde e funcionários do governo em parceria com maior prevalência de IDV, PR = 1,05 (IC 95%: 1,03-1,08), PR = 1,03 (IC 95%: 1,01-1,06), PR = 1,48 (IC 95%: 1,35-1,63), PR = 1,03 (IC 95%: 1,01-1,06 ), RP = 1,10 (IC 95%: 1,08-1,12), RP = 1,29 (IC 95%: 1,26-1,32), RP = 1,34 (IC 95%: 1,29-1,40) e RP = 1,18 (IC 95%: 1,15 -1,21); respectivamente.Conclusão: Três quartos dos entrevistados manifestam IDV. Existem fatores potencialmente modificáveis que podem melhorar a aceitação da vacina.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-02-23info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/187910.1590/SciELOPreprints.1879spahttps://preprints.scielo.org/index.php/scielo/article/view/1879/3026Copyright (c) 2021 Percy Herrera-Añazco, Angela Uyen-Cateriano, Diego Urrunaga-Pastor, Guido Bendezu-Quispe, Carlos J. Toro-Huamanchumo, Alfonso J. Rodriguez-Morales, Adrian V. Hernandez, Vicente Aleixandre Benites-Zapatahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessHerrera-Añazco, Percy Uyen-Cateriano, AngelaUrrunaga-Pastor, DiegoBendezu-Quispe, GuidoToro-Huamanchumo, Carlos J.Rodriguez-Morales, Alfonso J.Hernandez, Adrian V.Benites-Zapata, Vicente Aleixandrereponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-02-18T03:08:03Zoai:ops.preprints.scielo.org:preprint/1879Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-02-18T03:08:03SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Prevalence and factors associated with the intention of vaccination against COVID-19 in Peru Prevalencia y factores asociados a la intención de vacunación contra la COVID-19 en el Perú Prevalência e fatores associados à intenção de vacinação contra COVID-19 no Peru |
title |
Prevalence and factors associated with the intention of vaccination against COVID-19 in Peru |
spellingShingle |
Prevalence and factors associated with the intention of vaccination against COVID-19 in Peru Herrera-Añazco, Percy Infecciones por Coronavirus Betacoronavirus Vacunación Negativa a la Vacunación Perú Betacoronavirus Recusa de Vacinação Peru Infecções por Coronavirus Vacinação Coronavirus Infections SARS-CoV-2 COVID-19 Vaccines Vaccination Refusal Vaccination Peru |
title_short |
Prevalence and factors associated with the intention of vaccination against COVID-19 in Peru |
title_full |
Prevalence and factors associated with the intention of vaccination against COVID-19 in Peru |
title_fullStr |
Prevalence and factors associated with the intention of vaccination against COVID-19 in Peru |
title_full_unstemmed |
Prevalence and factors associated with the intention of vaccination against COVID-19 in Peru |
title_sort |
Prevalence and factors associated with the intention of vaccination against COVID-19 in Peru |
author |
Herrera-Añazco, Percy |
author_facet |
Herrera-Añazco, Percy Uyen-Cateriano, Angela Urrunaga-Pastor, Diego Bendezu-Quispe, Guido Toro-Huamanchumo, Carlos J. Rodriguez-Morales, Alfonso J. Hernandez, Adrian V. Benites-Zapata, Vicente Aleixandre |
author_role |
author |
author2 |
Uyen-Cateriano, Angela Urrunaga-Pastor, Diego Bendezu-Quispe, Guido Toro-Huamanchumo, Carlos J. Rodriguez-Morales, Alfonso J. Hernandez, Adrian V. Benites-Zapata, Vicente Aleixandre |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Herrera-Añazco, Percy Uyen-Cateriano, Angela Urrunaga-Pastor, Diego Bendezu-Quispe, Guido Toro-Huamanchumo, Carlos J. Rodriguez-Morales, Alfonso J. Hernandez, Adrian V. Benites-Zapata, Vicente Aleixandre |
dc.subject.por.fl_str_mv |
Infecciones por Coronavirus Betacoronavirus Vacunación Negativa a la Vacunación Perú Betacoronavirus Recusa de Vacinação Peru Infecções por Coronavirus Vacinação Coronavirus Infections SARS-CoV-2 COVID-19 Vaccines Vaccination Refusal Vaccination Peru |
topic |
Infecciones por Coronavirus Betacoronavirus Vacunación Negativa a la Vacunación Perú Betacoronavirus Recusa de Vacinação Peru Infecções por Coronavirus Vacinação Coronavirus Infections SARS-CoV-2 COVID-19 Vaccines Vaccination Refusal Vaccination Peru |
description |
Objective: To determine the prevalence and factors associated with the intention to vaccinate (ITV) against COVID-19 in Peru. Material and methods: Analytical cross-sectional study using the survey conducted by the University of Maryland, USA, on Facebook. The dependent variables were ITV. Crude and adjusted prevalence ratios (PR) were calculated, with their 95% confidence intervals (95% CI) using generalized linear models of the Poisson family, to evaluate the association of sociodemographic variables, compliance with community mitigation strategies, symptoms of COVID-19, mental health and acceptance of vaccination before the recommendation (AVR) by various actors and health authorities, with the ITV. Results: Data from 17,162 adults were analyzed. The overall prevalence of ITV was 74.9%. A lower prevalence of IDV was associated with the female sex, living in a town or rural area and the AVR of politicians, PR=0.95 (95%CI:0.94-0.96), PR=0.95 (95%CI:0.91-0.99), PR=0.90 (95%CI:0.86-0.93) and PR=0.89 (95%CI:0.87-0.91); respectively. Conversely, having COVID-19 symptoms, economic insecurity, fear of a family member getting sick from COVID-19, depressive symptoms, and the AVR of family and friends, healthcare workers, world health organization and government officials partnered with higher prevalence of ITV, PR=1.05 (95%CI:1.03-1.08), PR=1.03 (95%CI:1.01-1.06), PR=1.48 (95%CI:1.35-1.63), PR = 1.03 (95%CI:1.01-1.06), PR=1.10 (95%CI: 1.08-1.12), PR = 1.29 (95%CI: 1.26-1.32), PR=1.34 (95%CI: 1.29-1.40) and PR=1.18 (95%CI: 1.15-1.21); respectively. Conclusion: Three-quarters of the respondents manifest ITV. There are potentially modifiable factors that could improve vaccine acceptance. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-02-23 |
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/1879 10.1590/SciELOPreprints.1879 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/1879 |
identifier_str_mv |
10.1590/SciELOPreprints.1879 |
dc.language.iso.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/1879/3026 |
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_ |
1797047822074249216 |