Inequalities in infant vaccination coverage during the COVID-19 pandemic: A population-based study in Peru

Descripción del Articulo

Objective: To identify the associated factors and assess the inequalities of full vaccination coverage (FVC) among Peruvian infants aged 12–23 months during the COVID-19 pandemic in a nationally representative sample. Methods: We carried out a population-based cross-sectional study based on a second...

Descripción completa

Detalles Bibliográficos
Autores: Al-kassab-Córdova, Ali, Silva-Perez, Claudia, Mendez-Guerra, Carolina, Sangster-Carrasco, Lucero, Arroyave, Iván, Cabieses, Báltica, Mezones-Holguin, Edward
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/668038
Enlace del recurso:http://hdl.handle.net/10757/668038
Nivel de acceso:acceso abierto
Materia:COVID-19
Healthcare disparities
Low- and middle-income countries
Peru
Vaccination coverage
Full Vaccination Coverage (FVC)
COVID-19 pandemic
Peruvian Demographic Health Survey (DHS)
Generalized Linear Models (GLM)
Concentration curve (CC), Concentration index (CI), Erreygers normalized concentration index (ECI)
Education level of mothers
Access to mass media
Antenatal care visits (ANC)
Age of mother at first delivery
Wealth-ranked households
Descripción
Sumario:Objective: To identify the associated factors and assess the inequalities of full vaccination coverage (FVC) among Peruvian infants aged 12–23 months during the COVID-19 pandemic in a nationally representative sample. Methods: We carried out a population-based cross-sectional study based on a secondary data analysis using the 2021 Peruvian Demographic Health Survey (DHS) in infants aged 12 to 23 months. The sampling design was probabilistic, multistage, stratified, and independent at both departmental and area of residence levels. FVC was defined according to the WHO definition. We performed generalized linear models (GLM) Poisson family log link function to estimate crude (aPR) and adjusted prevalence ratios (aPR). Also, for inequality assessment, we calculated the concentration curve (CC), concentration index (CI), and Erreygers normalized concentration index (ECI). Results: We included 4,189 infants in our analysis. Nationwide, the prevalence of FVC was 66.19% (95% CI: 64.33–68). Being younger, having a mother with no education or primary education, belonging to a large family, having no access to mass media, having had six or fewer ANC visits, and having a mother whose age was under 20 at first delivery were inversely associated with FVC. Meanwhile, living in the Highlands or on the rest of the coast, and living in rural areas were directly associated with FVC. We found a pro-rich inequality in FVC based on wealth-ranked households (CI: 0.0066; ECI: 0.0175). Conclusion: FVC has dropped among Peruvian infants aged between 12 and 23 months. There were several factors associated with FVC. It was more concentrated among the better-off infants, although in low magnitude.
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).