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Spatial analysis of vaccine coverage on the first year of life in the northeast of Brazil

BACKGROUND: Over time, vaccination has been consolidated as one of the most cost effective and successful public health interventions and a right of every human being. This study aimed to assess the spatial dynamics of the vaccine coverage (VC) rate of children aged < 1 year per municipality in t...

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Autores principales: Cunha, Nairmara Soares Pimentel, Fahrat, Sylvia Costa Lima, de Olinda, Ricardo Alves, Braga, Alfésio Luís Ferreira, Barbieri, Carolina Luisa Alves, de Aguiar Pontes Pamplona, Ysabely, Martins, Lourdes Conceição
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202142/
https://www.ncbi.nlm.nih.gov/pubmed/35710366
http://dx.doi.org/10.1186/s12889-022-13589-9
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author Cunha, Nairmara Soares Pimentel
Fahrat, Sylvia Costa Lima
de Olinda, Ricardo Alves
Braga, Alfésio Luís Ferreira
Barbieri, Carolina Luisa Alves
de Aguiar Pontes Pamplona, Ysabely
Martins, Lourdes Conceição
author_facet Cunha, Nairmara Soares Pimentel
Fahrat, Sylvia Costa Lima
de Olinda, Ricardo Alves
Braga, Alfésio Luís Ferreira
Barbieri, Carolina Luisa Alves
de Aguiar Pontes Pamplona, Ysabely
Martins, Lourdes Conceição
author_sort Cunha, Nairmara Soares Pimentel
collection PubMed
description BACKGROUND: Over time, vaccination has been consolidated as one of the most cost effective and successful public health interventions and a right of every human being. This study aimed to assess the spatial dynamics of the vaccine coverage (VC) rate of children aged < 1 year per municipality in the Brazilian Northeast at 2016 and 2017. METHODS: This is a mixed-type ecological study that use a Public domain data Health Information. Vaccine doses were obtained from the Information System of the Brazilian National Immunization Program, and live births from the Brazilian Information System of Live Births of the Brazilian Unified Health System. Descriptive analysis of the coverage of all the vaccines for each year of the study was conducted, and Mann–Whitney U test was used to compare VC between the study years. Chi-squared test was used to evaluate the association between the years and VC, which was stratified into four ranges, very low, low, adequate, and high. Spatial distribution was analyzed according to both each study year and vaccine and presented as thematic maps. Spatial autocorrelation was analyzed using Moran’s Global and Local statistics. RESULTS: Compared with 2017, 2016 showed better VC (p < 0.05), except for Bacillus Calmette–Guérin. In the spatial analysis of the studied vaccines, the Global Moran’s Index did not show any spatial autocorrelation (p > 0.05), but the Local Moran’s Index showed some municipalities, particularly the Sertão Paraibano region, with high VC, high similarity, and a positive influence on neighboring municipalities (p < 0.05). In contrast, most municipalities with low VC were concentrated in the Mata Paraibano region, negatively influencing their neighbors (p < 0.05). CONCLUSION: Uneven geographic regions and clusters of low VC for children aged < 1 year in the State of Paraíba were spatially visualized. Health policy makers and planners need to urgently devise and coordinate an action plan directed at each state’s regions to fulfill the vaccination calendar, thereby reversing the vulnerability of this age group, which is at a higher risk of diseases preventable by vaccination.
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spelling pubmed-92021422022-06-17 Spatial analysis of vaccine coverage on the first year of life in the northeast of Brazil Cunha, Nairmara Soares Pimentel Fahrat, Sylvia Costa Lima de Olinda, Ricardo Alves Braga, Alfésio Luís Ferreira Barbieri, Carolina Luisa Alves de Aguiar Pontes Pamplona, Ysabely Martins, Lourdes Conceição BMC Public Health Research BACKGROUND: Over time, vaccination has been consolidated as one of the most cost effective and successful public health interventions and a right of every human being. This study aimed to assess the spatial dynamics of the vaccine coverage (VC) rate of children aged < 1 year per municipality in the Brazilian Northeast at 2016 and 2017. METHODS: This is a mixed-type ecological study that use a Public domain data Health Information. Vaccine doses were obtained from the Information System of the Brazilian National Immunization Program, and live births from the Brazilian Information System of Live Births of the Brazilian Unified Health System. Descriptive analysis of the coverage of all the vaccines for each year of the study was conducted, and Mann–Whitney U test was used to compare VC between the study years. Chi-squared test was used to evaluate the association between the years and VC, which was stratified into four ranges, very low, low, adequate, and high. Spatial distribution was analyzed according to both each study year and vaccine and presented as thematic maps. Spatial autocorrelation was analyzed using Moran’s Global and Local statistics. RESULTS: Compared with 2017, 2016 showed better VC (p < 0.05), except for Bacillus Calmette–Guérin. In the spatial analysis of the studied vaccines, the Global Moran’s Index did not show any spatial autocorrelation (p > 0.05), but the Local Moran’s Index showed some municipalities, particularly the Sertão Paraibano region, with high VC, high similarity, and a positive influence on neighboring municipalities (p < 0.05). In contrast, most municipalities with low VC were concentrated in the Mata Paraibano region, negatively influencing their neighbors (p < 0.05). CONCLUSION: Uneven geographic regions and clusters of low VC for children aged < 1 year in the State of Paraíba were spatially visualized. Health policy makers and planners need to urgently devise and coordinate an action plan directed at each state’s regions to fulfill the vaccination calendar, thereby reversing the vulnerability of this age group, which is at a higher risk of diseases preventable by vaccination. BioMed Central 2022-06-16 /pmc/articles/PMC9202142/ /pubmed/35710366 http://dx.doi.org/10.1186/s12889-022-13589-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Cunha, Nairmara Soares Pimentel
Fahrat, Sylvia Costa Lima
de Olinda, Ricardo Alves
Braga, Alfésio Luís Ferreira
Barbieri, Carolina Luisa Alves
de Aguiar Pontes Pamplona, Ysabely
Martins, Lourdes Conceição
Spatial analysis of vaccine coverage on the first year of life in the northeast of Brazil
title Spatial analysis of vaccine coverage on the first year of life in the northeast of Brazil
title_full Spatial analysis of vaccine coverage on the first year of life in the northeast of Brazil
title_fullStr Spatial analysis of vaccine coverage on the first year of life in the northeast of Brazil
title_full_unstemmed Spatial analysis of vaccine coverage on the first year of life in the northeast of Brazil
title_short Spatial analysis of vaccine coverage on the first year of life in the northeast of Brazil
title_sort spatial analysis of vaccine coverage on the first year of life in the northeast of brazil
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202142/
https://www.ncbi.nlm.nih.gov/pubmed/35710366
http://dx.doi.org/10.1186/s12889-022-13589-9
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