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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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. |
format | Online Article Text |
id | pubmed-10021434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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