Cargando…

Regional heterogeneity of malaria prevalence and associated risk factors among children under five in Togo: evidence from a national malaria indicators survey

BACKGROUND: Malaria remains a major cause of morbidity and death among children less than 5 years of age. In Togo, despite intensification of malaria control interventions, malaria remained highly prevalent, with significant heterogeneity from one region to another. The aim of this study is to explo...

Descripción completa

Detalles Bibliográficos
Autores principales: Kombate, Gountante, Gmakouba, Wakpaouyare, Scott, Susana, Azianu, Komi Ameko, Ekouevi, Didier Koumavi, van der Sande, Marianne A. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166409/
https://www.ncbi.nlm.nih.gov/pubmed/35658969
http://dx.doi.org/10.1186/s12936-022-04195-6
_version_ 1784720596896055296
author Kombate, Gountante
Gmakouba, Wakpaouyare
Scott, Susana
Azianu, Komi Ameko
Ekouevi, Didier Koumavi
van der Sande, Marianne A. B.
author_facet Kombate, Gountante
Gmakouba, Wakpaouyare
Scott, Susana
Azianu, Komi Ameko
Ekouevi, Didier Koumavi
van der Sande, Marianne A. B.
author_sort Kombate, Gountante
collection PubMed
description BACKGROUND: Malaria remains a major cause of morbidity and death among children less than 5 years of age. In Togo, despite intensification of malaria control interventions, malaria remained highly prevalent, with significant heterogeneity from one region to another. The aim of this study is to explore further such regional differences in malaria prevalence and to determine associated risk factors. METHODS: Data from a 2017 cross-sectional nationally representative malaria indicator survey was used. Children aged 6–59 months in selected households were tested for malaria using a rapid diagnostic test (RDT), confirmed by microscopy. Univariate and multivariate logistic regression analysis were performed using Generalized Linear Models. RESULTS: A total of 2131 children aged 6–59 months (1983 in rural areas, 989 in urban areas) were enrolled. Overall 28% of children tested positive for malaria, ranging from 7.0% in the Lomé Commune region to 4% 7.1 in the Plateaux region. In multivariate analysis, statistically significant differences between regions persisted. Independent risk factors identified were higher children aged (aOR = 1.46, 95% CI [1.13–1.88]) for those above 24 months compared to those below; households wealth quintile (aOR = 0.22, 95% CI [0.11–0.41]) for those richest compared to those poorest quintiles; residence in rural areas (aOR = 2.02, 95% CI [1.32–3.13]). CONCLUSION: Interventions that target use of combined prevention measures should prioritise on older children living in poorest households in rural areas, particularly in the regions of high malaria prevalence.
format Online
Article
Text
id pubmed-9166409
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-91664092022-06-05 Regional heterogeneity of malaria prevalence and associated risk factors among children under five in Togo: evidence from a national malaria indicators survey Kombate, Gountante Gmakouba, Wakpaouyare Scott, Susana Azianu, Komi Ameko Ekouevi, Didier Koumavi van der Sande, Marianne A. B. Malar J Research BACKGROUND: Malaria remains a major cause of morbidity and death among children less than 5 years of age. In Togo, despite intensification of malaria control interventions, malaria remained highly prevalent, with significant heterogeneity from one region to another. The aim of this study is to explore further such regional differences in malaria prevalence and to determine associated risk factors. METHODS: Data from a 2017 cross-sectional nationally representative malaria indicator survey was used. Children aged 6–59 months in selected households were tested for malaria using a rapid diagnostic test (RDT), confirmed by microscopy. Univariate and multivariate logistic regression analysis were performed using Generalized Linear Models. RESULTS: A total of 2131 children aged 6–59 months (1983 in rural areas, 989 in urban areas) were enrolled. Overall 28% of children tested positive for malaria, ranging from 7.0% in the Lomé Commune region to 4% 7.1 in the Plateaux region. In multivariate analysis, statistically significant differences between regions persisted. Independent risk factors identified were higher children aged (aOR = 1.46, 95% CI [1.13–1.88]) for those above 24 months compared to those below; households wealth quintile (aOR = 0.22, 95% CI [0.11–0.41]) for those richest compared to those poorest quintiles; residence in rural areas (aOR = 2.02, 95% CI [1.32–3.13]). CONCLUSION: Interventions that target use of combined prevention measures should prioritise on older children living in poorest households in rural areas, particularly in the regions of high malaria prevalence. BioMed Central 2022-06-03 /pmc/articles/PMC9166409/ /pubmed/35658969 http://dx.doi.org/10.1186/s12936-022-04195-6 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
Kombate, Gountante
Gmakouba, Wakpaouyare
Scott, Susana
Azianu, Komi Ameko
Ekouevi, Didier Koumavi
van der Sande, Marianne A. B.
Regional heterogeneity of malaria prevalence and associated risk factors among children under five in Togo: evidence from a national malaria indicators survey
title Regional heterogeneity of malaria prevalence and associated risk factors among children under five in Togo: evidence from a national malaria indicators survey
title_full Regional heterogeneity of malaria prevalence and associated risk factors among children under five in Togo: evidence from a national malaria indicators survey
title_fullStr Regional heterogeneity of malaria prevalence and associated risk factors among children under five in Togo: evidence from a national malaria indicators survey
title_full_unstemmed Regional heterogeneity of malaria prevalence and associated risk factors among children under five in Togo: evidence from a national malaria indicators survey
title_short Regional heterogeneity of malaria prevalence and associated risk factors among children under five in Togo: evidence from a national malaria indicators survey
title_sort regional heterogeneity of malaria prevalence and associated risk factors among children under five in togo: evidence from a national malaria indicators survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166409/
https://www.ncbi.nlm.nih.gov/pubmed/35658969
http://dx.doi.org/10.1186/s12936-022-04195-6
work_keys_str_mv AT kombategountante regionalheterogeneityofmalariaprevalenceandassociatedriskfactorsamongchildrenunderfiveintogoevidencefromanationalmalariaindicatorssurvey
AT gmakoubawakpaouyare regionalheterogeneityofmalariaprevalenceandassociatedriskfactorsamongchildrenunderfiveintogoevidencefromanationalmalariaindicatorssurvey
AT scottsusana regionalheterogeneityofmalariaprevalenceandassociatedriskfactorsamongchildrenunderfiveintogoevidencefromanationalmalariaindicatorssurvey
AT azianukomiameko regionalheterogeneityofmalariaprevalenceandassociatedriskfactorsamongchildrenunderfiveintogoevidencefromanationalmalariaindicatorssurvey
AT ekouevididierkoumavi regionalheterogeneityofmalariaprevalenceandassociatedriskfactorsamongchildrenunderfiveintogoevidencefromanationalmalariaindicatorssurvey
AT vandersandemarianneab regionalheterogeneityofmalariaprevalenceandassociatedriskfactorsamongchildrenunderfiveintogoevidencefromanationalmalariaindicatorssurvey