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Determinants of malaria among under-five children in Ethiopia: Bayesian multilevel analysis
BACKGROUND: In Ethiopia, malaria is one of the public health problems, and it is still among the ten top leading causes of morbidity and mortality among under-five children. However, the studies conducted in the country have been inconclusive and inconsistent. Thus, this study aimed to assess factor...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526346/ https://www.ncbi.nlm.nih.gov/pubmed/32993550 http://dx.doi.org/10.1186/s12889-020-09560-1 |
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author | Aychiluhm, Setognal Birara Gelaye, Kassahun Alemu Angaw, Dessie Abebaw Dagne, Getachew Asfaw Tadesse, Abay Woday Abera, Adugna Dillu, Dereje |
author_facet | Aychiluhm, Setognal Birara Gelaye, Kassahun Alemu Angaw, Dessie Abebaw Dagne, Getachew Asfaw Tadesse, Abay Woday Abera, Adugna Dillu, Dereje |
author_sort | Aychiluhm, Setognal Birara |
collection | PubMed |
description | BACKGROUND: In Ethiopia, malaria is one of the public health problems, and it is still among the ten top leading causes of morbidity and mortality among under-five children. However, the studies conducted in the country have been inconclusive and inconsistent. Thus, this study aimed to assess factors associated with malaria among under-five children in Ethiopia. METHODS: We retrieved secondary data from the malaria indicator survey data collected from September 30 to December 10, 2015, in Ethiopia. A total of 8301 under-five-year-old children who had microscopy test results were included in the study. Bayesian multilevel logistic regression models were fitted and Markov chain Monte Carlo simulation was used to estimate the model parameters using Gibbs sampling. Adjusted Odd Ratio with 95% credible interval in the multivariable model was used to select variables that have a significant association with malaria. RESULTS: In this study, sleeping under the insecticide-treated bed nets during bed time (ITN) [AOR 0.58,95% CI, 0.31–0.97)], having 2 and more ITN for the household [AOR 0.43, (95% CI, 0.17–0.88)], have radio [AOR 0.41, (95% CI, 0.19–0.78)], have television [AOR 0.19, (95% CI, 0.01–0.89)] and altitude [AOR 0.05, (95% CI, 0.01–0.13)] were the predictors of malaria among under-five children. CONCLUSIONS: The study revealed that sleeping under ITN, having two and more ITN for the household, altitude, availability of radio, and television were the predictors of malaria among under-five children in Ethiopia. Thus, the government should strengthen the availability and utilization of ITN to halt under-five mortality due to malaria. |
format | Online Article Text |
id | pubmed-7526346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75263462020-10-01 Determinants of malaria among under-five children in Ethiopia: Bayesian multilevel analysis Aychiluhm, Setognal Birara Gelaye, Kassahun Alemu Angaw, Dessie Abebaw Dagne, Getachew Asfaw Tadesse, Abay Woday Abera, Adugna Dillu, Dereje BMC Public Health Research Article BACKGROUND: In Ethiopia, malaria is one of the public health problems, and it is still among the ten top leading causes of morbidity and mortality among under-five children. However, the studies conducted in the country have been inconclusive and inconsistent. Thus, this study aimed to assess factors associated with malaria among under-five children in Ethiopia. METHODS: We retrieved secondary data from the malaria indicator survey data collected from September 30 to December 10, 2015, in Ethiopia. A total of 8301 under-five-year-old children who had microscopy test results were included in the study. Bayesian multilevel logistic regression models were fitted and Markov chain Monte Carlo simulation was used to estimate the model parameters using Gibbs sampling. Adjusted Odd Ratio with 95% credible interval in the multivariable model was used to select variables that have a significant association with malaria. RESULTS: In this study, sleeping under the insecticide-treated bed nets during bed time (ITN) [AOR 0.58,95% CI, 0.31–0.97)], having 2 and more ITN for the household [AOR 0.43, (95% CI, 0.17–0.88)], have radio [AOR 0.41, (95% CI, 0.19–0.78)], have television [AOR 0.19, (95% CI, 0.01–0.89)] and altitude [AOR 0.05, (95% CI, 0.01–0.13)] were the predictors of malaria among under-five children. CONCLUSIONS: The study revealed that sleeping under ITN, having two and more ITN for the household, altitude, availability of radio, and television were the predictors of malaria among under-five children in Ethiopia. Thus, the government should strengthen the availability and utilization of ITN to halt under-five mortality due to malaria. BioMed Central 2020-09-29 /pmc/articles/PMC7526346/ /pubmed/32993550 http://dx.doi.org/10.1186/s12889-020-09560-1 Text en © The Author(s) 2020 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/. 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 in a credit line to the data. |
spellingShingle | Research Article Aychiluhm, Setognal Birara Gelaye, Kassahun Alemu Angaw, Dessie Abebaw Dagne, Getachew Asfaw Tadesse, Abay Woday Abera, Adugna Dillu, Dereje Determinants of malaria among under-five children in Ethiopia: Bayesian multilevel analysis |
title | Determinants of malaria among under-five children in Ethiopia: Bayesian multilevel analysis |
title_full | Determinants of malaria among under-five children in Ethiopia: Bayesian multilevel analysis |
title_fullStr | Determinants of malaria among under-five children in Ethiopia: Bayesian multilevel analysis |
title_full_unstemmed | Determinants of malaria among under-five children in Ethiopia: Bayesian multilevel analysis |
title_short | Determinants of malaria among under-five children in Ethiopia: Bayesian multilevel analysis |
title_sort | determinants of malaria among under-five children in ethiopia: bayesian multilevel analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526346/ https://www.ncbi.nlm.nih.gov/pubmed/32993550 http://dx.doi.org/10.1186/s12889-020-09560-1 |
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