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Assessing the characteristics of un- and under-vaccinated children in low- and middle-income countries: A multi-level cross-sectional study

Achieving equity in vaccination coverage has been a critical priority within the global health community. Despite increased efforts recently, certain populations still have a high proportion of un- and under-vaccinated children in many low- and middle-income countries (LMICs). These populations are...

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Autores principales: Utazi, C. Edson, Pannell, Oliver, Aheto, Justice M. K., Wigley, Adelle, Tejedor-Garavito, Natalia, Wunderlich, Josh, Hagedorn, Brittany, Hogan, Dan, Tatem, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021434/
https://www.ncbi.nlm.nih.gov/pubmed/36962232
http://dx.doi.org/10.1371/journal.pgph.0000244
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author Utazi, C. Edson
Pannell, Oliver
Aheto, Justice M. K.
Wigley, Adelle
Tejedor-Garavito, Natalia
Wunderlich, Josh
Hagedorn, Brittany
Hogan, Dan
Tatem, Andrew J.
author_facet Utazi, C. Edson
Pannell, Oliver
Aheto, Justice M. K.
Wigley, Adelle
Tejedor-Garavito, Natalia
Wunderlich, Josh
Hagedorn, Brittany
Hogan, Dan
Tatem, Andrew J.
author_sort Utazi, C. Edson
collection PubMed
description Achieving equity in vaccination coverage has been a critical priority within the global health community. Despite increased efforts recently, certain populations still have a high proportion of un- and under-vaccinated children in many low- and middle-income countries (LMICs). These populations are often assumed to reside in remote-rural areas, urban slums and conflict-affected areas. Here, we investigate the effects of these key community-level factors, alongside a wide range of other individual, household and community level factors, on vaccination coverage. Using geospatial datasets, including cross-sectional data from the most recent Demographic and Health Surveys conducted between 2008 and 2018 in nine LMICs, we fitted Bayesian multi-level binary logistic regression models to determine key community-level and other factors significantly associated with non- and under-vaccination. We analyzed the odds of receipt of the first doses of diphtheria-tetanus-pertussis (DTP1) vaccine and measles-containing vaccine (MCV1), and receipt of all three recommended DTP doses (DTP3) independently, in children aged 12–23 months. In bivariate analyses, we found that remoteness increased the odds of non- and under-vaccination in nearly all the study countries. We also found evidence that living in conflict and urban slum areas reduced the odds of vaccination, but not in most cases as expected. However, the odds of vaccination were more likely to be lower in urban slums than formal urban areas. Our multivariate analyses revealed that the key community variables–remoteness, conflict and urban slum–were sometimes associated with non- and under-vaccination, but they were not frequently predictors of these outcomes after controlling for other factors. Individual and household factors such as maternal utilization of health services, maternal education and ethnicity, were more common predictors of vaccination. Reaching the Immunisation Agenda 2030 target of reducing the number of zero-dose children by 50% by 2030 will require country tailored analyses and strategies to identify and reach missed communities with reliable immunisation services.
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spelling pubmed-100214342023-03-17 Assessing the characteristics of un- and under-vaccinated children in low- and middle-income countries: A multi-level cross-sectional study Utazi, C. Edson Pannell, Oliver Aheto, Justice M. K. Wigley, Adelle Tejedor-Garavito, Natalia Wunderlich, Josh Hagedorn, Brittany Hogan, Dan Tatem, Andrew J. PLOS Glob Public Health Research Article Achieving equity in vaccination coverage has been a critical priority within the global health community. Despite increased efforts recently, certain populations still have a high proportion of un- and under-vaccinated children in many low- and middle-income countries (LMICs). These populations are often assumed to reside in remote-rural areas, urban slums and conflict-affected areas. Here, we investigate the effects of these key community-level factors, alongside a wide range of other individual, household and community level factors, on vaccination coverage. Using geospatial datasets, including cross-sectional data from the most recent Demographic and Health Surveys conducted between 2008 and 2018 in nine LMICs, we fitted Bayesian multi-level binary logistic regression models to determine key community-level and other factors significantly associated with non- and under-vaccination. We analyzed the odds of receipt of the first doses of diphtheria-tetanus-pertussis (DTP1) vaccine and measles-containing vaccine (MCV1), and receipt of all three recommended DTP doses (DTP3) independently, in children aged 12–23 months. In bivariate analyses, we found that remoteness increased the odds of non- and under-vaccination in nearly all the study countries. We also found evidence that living in conflict and urban slum areas reduced the odds of vaccination, but not in most cases as expected. However, the odds of vaccination were more likely to be lower in urban slums than formal urban areas. Our multivariate analyses revealed that the key community variables–remoteness, conflict and urban slum–were sometimes associated with non- and under-vaccination, but they were not frequently predictors of these outcomes after controlling for other factors. Individual and household factors such as maternal utilization of health services, maternal education and ethnicity, were more common predictors of vaccination. Reaching the Immunisation Agenda 2030 target of reducing the number of zero-dose children by 50% by 2030 will require country tailored analyses and strategies to identify and reach missed communities with reliable immunisation services. Public Library of Science 2022-04-27 /pmc/articles/PMC10021434/ /pubmed/36962232 http://dx.doi.org/10.1371/journal.pgph.0000244 Text en © 2022 Utazi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Utazi, C. Edson
Pannell, Oliver
Aheto, Justice M. K.
Wigley, Adelle
Tejedor-Garavito, Natalia
Wunderlich, Josh
Hagedorn, Brittany
Hogan, Dan
Tatem, Andrew J.
Assessing the characteristics of un- and under-vaccinated children in low- and middle-income countries: A multi-level cross-sectional study
title Assessing the characteristics of un- and under-vaccinated children in low- and middle-income countries: A multi-level cross-sectional study
title_full Assessing the characteristics of un- and under-vaccinated children in low- and middle-income countries: A multi-level cross-sectional study
title_fullStr Assessing the characteristics of un- and under-vaccinated children in low- and middle-income countries: A multi-level cross-sectional study
title_full_unstemmed Assessing the characteristics of un- and under-vaccinated children in low- and middle-income countries: A multi-level cross-sectional study
title_short Assessing the characteristics of un- and under-vaccinated children in low- and middle-income countries: A multi-level cross-sectional study
title_sort assessing the characteristics of un- and under-vaccinated children in low- and middle-income countries: a multi-level cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021434/
https://www.ncbi.nlm.nih.gov/pubmed/36962232
http://dx.doi.org/10.1371/journal.pgph.0000244
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