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Spatial clustering of measles vaccination coverage among children in sub-Saharan Africa
BACKGROUND: During the past two decades, vaccination programs have greatly reduced global morbidity and mortality due to measles, but recently this progress has stalled. Even in countries that report high vaccination coverage rates, transmission has continued, particularly in spatially clustered sub...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732449/ https://www.ncbi.nlm.nih.gov/pubmed/29246217 http://dx.doi.org/10.1186/s12889-017-4961-9 |
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author | Brownwright, Tenley K. Dodson, Zan M. van Panhuis, Willem G. |
author_facet | Brownwright, Tenley K. Dodson, Zan M. van Panhuis, Willem G. |
author_sort | Brownwright, Tenley K. |
collection | PubMed |
description | BACKGROUND: During the past two decades, vaccination programs have greatly reduced global morbidity and mortality due to measles, but recently this progress has stalled. Even in countries that report high vaccination coverage rates, transmission has continued, particularly in spatially clustered subpopulations with low vaccination coverage. METHODS: We examined the spatial heterogeneity of measles vaccination coverage among children aged 12–23 months in ten Sub-Saharan African countries. We used the Anselin Local Moran’s I to estimate clustering of vaccination coverage based on data from Demographic and Health Surveys conducted between 2008 and 2013. We also examined the role of sociodemographic factors to explain clustering of low vaccination. RESULTS: We detected 477 spatial clusters with low vaccination coverage, many of which were located in countries with relatively high nationwide vaccination coverage rates such as Zambia and Malawi. We also found clusters in border areas with transient populations. Clustering of low vaccination coverage was related to low health education and limited access to healthcare. CONCLUSIONS: Systematically monitoring clustered populations with low vaccination coverage can inform supplemental immunization activities and strengthen elimination programs. Metrics of spatial heterogeneity should be used routinely to determine the success of immunization programs and the risk of disease persistence. |
format | Online Article Text |
id | pubmed-5732449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57324492017-12-21 Spatial clustering of measles vaccination coverage among children in sub-Saharan Africa Brownwright, Tenley K. Dodson, Zan M. van Panhuis, Willem G. BMC Public Health Research Article BACKGROUND: During the past two decades, vaccination programs have greatly reduced global morbidity and mortality due to measles, but recently this progress has stalled. Even in countries that report high vaccination coverage rates, transmission has continued, particularly in spatially clustered subpopulations with low vaccination coverage. METHODS: We examined the spatial heterogeneity of measles vaccination coverage among children aged 12–23 months in ten Sub-Saharan African countries. We used the Anselin Local Moran’s I to estimate clustering of vaccination coverage based on data from Demographic and Health Surveys conducted between 2008 and 2013. We also examined the role of sociodemographic factors to explain clustering of low vaccination. RESULTS: We detected 477 spatial clusters with low vaccination coverage, many of which were located in countries with relatively high nationwide vaccination coverage rates such as Zambia and Malawi. We also found clusters in border areas with transient populations. Clustering of low vaccination coverage was related to low health education and limited access to healthcare. CONCLUSIONS: Systematically monitoring clustered populations with low vaccination coverage can inform supplemental immunization activities and strengthen elimination programs. Metrics of spatial heterogeneity should be used routinely to determine the success of immunization programs and the risk of disease persistence. BioMed Central 2017-12-15 /pmc/articles/PMC5732449/ /pubmed/29246217 http://dx.doi.org/10.1186/s12889-017-4961-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Brownwright, Tenley K. Dodson, Zan M. van Panhuis, Willem G. Spatial clustering of measles vaccination coverage among children in sub-Saharan Africa |
title | Spatial clustering of measles vaccination coverage among children in sub-Saharan Africa |
title_full | Spatial clustering of measles vaccination coverage among children in sub-Saharan Africa |
title_fullStr | Spatial clustering of measles vaccination coverage among children in sub-Saharan Africa |
title_full_unstemmed | Spatial clustering of measles vaccination coverage among children in sub-Saharan Africa |
title_short | Spatial clustering of measles vaccination coverage among children in sub-Saharan Africa |
title_sort | spatial clustering of measles vaccination coverage among children in sub-saharan africa |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732449/ https://www.ncbi.nlm.nih.gov/pubmed/29246217 http://dx.doi.org/10.1186/s12889-017-4961-9 |
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