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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

Assessing the characteristics of un- and under-vaccinated children in low- and middle-income countries: a multi-level cross-sectional study
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 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.
2767-3375
Utazi, C. Edson
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Pannell, Oliver
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Aheto, Justice M. K.
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Wigley, Adelle
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Tejedor Garavito, Natalia
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Wunderlich, Josh
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Hagedorn, Brittany
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Hogan, Dan
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Tatem, Andrew J.
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Shim, Eunha
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Utazi, C. Edson
91982e3d-d79b-4e0e-ba23-7bdfa417b10b
Pannell, Oliver
370b302f-0b96-4fa5-b96b-5330cfef2263
Aheto, Justice M. K.
dfdbcbd6-229b-4af8-86b5-e698e62fe29f
Wigley, Adelle
21b38ae2-ffd3-4d45-bf29-843e6d62807f
Tejedor Garavito, Natalia
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Wunderlich, Josh
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Hagedorn, Brittany
a6861742-3ea5-454b-a675-27a2a4e09954
Hogan, Dan
7818ed8f-3da4-494d-b4f8-1cff656aa087
Tatem, Andrew J.
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Shim, Eunha
696c6c44-2ef6-4664-885e-5ce65b5c3846

Utazi, C. Edson, Pannell, Oliver, Aheto, Justice M. K., Wigley, Adelle, Tejedor Garavito, Natalia, Wunderlich, Josh, Hagedorn, Brittany, Hogan, Dan and Tatem, Andrew J. , Shim, Eunha (ed.) (2022) Assessing the characteristics of un- and under-vaccinated children in low- and middle-income countries: a multi-level cross-sectional study. PLOS Global Public Health. (doi:10.1371/journal.pgph.0000244).

Record type: Article

Abstract

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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Accepted/In Press date: 3 February 2022
Published date: 27 April 2022

Identifiers

Local EPrints ID: 456461
URI: http://eprints.soton.ac.uk/id/eprint/456461
ISSN: 2767-3375
PURE UUID: 457918b5-fcfc-4edc-be59-134bf1c583b4
ORCID for Oliver Pannell: ORCID iD orcid.org/0000-0003-2559-2818
ORCID for Justice M. K. Aheto: ORCID iD orcid.org/0000-0003-1384-2461
ORCID for Natalia Tejedor Garavito: ORCID iD orcid.org/0000-0002-1140-6263
ORCID for Andrew J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X

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Date deposited: 03 May 2022 16:35
Last modified: 17 Mar 2024 04:04

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Contributors

Author: C. Edson Utazi
Author: Oliver Pannell ORCID iD
Author: Justice M. K. Aheto ORCID iD
Author: Adelle Wigley
Author: Josh Wunderlich
Author: Brittany Hagedorn
Author: Dan Hogan
Author: Andrew J. Tatem ORCID iD
Editor: Eunha Shim

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