Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach

Mulugeta Tadesse Ankea

doi:doi:10.11648/j.ijbse.20210903.11

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Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach

Mulugeta Tadesse Ankea

Published in International Journal of Biomedical Science and Engineering (Volume 9, Issue 3)

Received: 26 June 2021 Accepted: 23 July 2021 Published: 6 August 2021

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Abstract

The burden of under-five mortality remains unevenly distributed. About 80 percent of under-five deaths occur in two regions, sub-Saharan Africa and South Asia. Ethiopia is among the six countries that account for half of the global under-five deaths. The aim of this study was to identify the significant socio-economic and demographic factors influencing under-five child mortality and evaluate the variation among the regional states of Ethiopia. In this study, the 2000, 2005, 2011 and 2016 EDHS data were used to describe the trend of under-five mortality in Ethiopia. The 2016 EDHS data have been used to analyze determinants and variation of under-five mortality by background characteristics. Single-level logistic regression and multilevel logistic regression models were used to identify the major risk factors of under-five mortality and regional variations in under-five child mortality in Ethiopia using the 2016 EDHS data. The results from single-level and multilevel logistic regression analyses showed that Sex of a child, Age of a child in month, Birth type, Birth order number, Number of Household size, Breastfeeding status, Educational level of mother’s, Place of residence and type of toilet facility had significant effects on under-five child mortality and there is variation of under-five child mortality from region to region. Conversely, preceding birth interval, wealth index Household, Source of drinking water and place of delivery were found insignificant. The results revealed variation of under-five child mortality from region to region. The multilevel logistic regression analysis result showed that the effects of breastfeeding varied across regions whereas the effects of other covariates on under-five child mortality remained fixed across regions.

Published in	International Journal of Biomedical Science and Engineering (Volume 9, Issue 3)
DOI	10.11648/j.ijbse.20210903.11
Page(s)	37-58
Creative Commons	This is an Open Access article, 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 or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

EDHS 2016 Data, Ethiopia, Multilevel Level Logistic Model, Under-five Child Mortality

References

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Mulugeta Tadesse Ankea. (2021). Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach. International Journal of Biomedical Science and Engineering, 9(3), 37-58. https://doi.org/10.11648/j.ijbse.20210903.11

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ACS Style

Mulugeta Tadesse Ankea. Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach. Int. J. Biomed. Sci. Eng. 2021, 9(3), 37-58. doi: 10.11648/j.ijbse.20210903.11

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AMA Style

Mulugeta Tadesse Ankea. Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach. Int J Biomed Sci Eng. 2021;9(3):37-58. doi: 10.11648/j.ijbse.20210903.11

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@article{10.11648/j.ijbse.20210903.11,
  author = {Mulugeta Tadesse Ankea},
  title = {Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach},
  journal = {International Journal of Biomedical Science and Engineering},
  volume = {9},
  number = {3},
  pages = {37-58},
  doi = {10.11648/j.ijbse.20210903.11},
  url = {https://doi.org/10.11648/j.ijbse.20210903.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbse.20210903.11},
  abstract = {The burden of under-five mortality remains unevenly distributed. About 80 percent of under-five deaths occur in two regions, sub-Saharan Africa and South Asia. Ethiopia is among the six countries that account for half of the global under-five deaths. The aim of this study was to identify the significant socio-economic and demographic factors influencing under-five child mortality and evaluate the variation among the regional states of Ethiopia. In this study, the 2000, 2005, 2011 and 2016 EDHS data were used to describe the trend of under-five mortality in Ethiopia. The 2016 EDHS data have been used to analyze determinants and variation of under-five mortality by background characteristics. Single-level logistic regression and multilevel logistic regression models were used to identify the major risk factors of under-five mortality and regional variations in under-five child mortality in Ethiopia using the 2016 EDHS data. The results from single-level and multilevel logistic regression analyses showed that Sex of a child, Age of a child in month, Birth type, Birth order number, Number of Household size, Breastfeeding status, Educational level of mother’s, Place of residence and type of toilet facility had significant effects on under-five child mortality and there is variation of under-five child mortality from region to region. Conversely, preceding birth interval, wealth index Household, Source of drinking water and place of delivery were found insignificant. The results revealed variation of under-five child mortality from region to region. The multilevel logistic regression analysis result showed that the effects of breastfeeding varied across regions whereas the effects of other covariates on under-five child mortality remained fixed across regions.},
 year = {2021}
}

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TY  - JOUR
T1  - Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach
AU  - Mulugeta Tadesse Ankea
Y1  - 2021/08/06
PY  - 2021
N1  - https://doi.org/10.11648/j.ijbse.20210903.11
DO  - 10.11648/j.ijbse.20210903.11
T2  - International Journal of Biomedical Science and Engineering
JF  - International Journal of Biomedical Science and Engineering
JO  - International Journal of Biomedical Science and Engineering
SP  - 37
EP  - 58
PB  - Science Publishing Group
SN  - 2376-7235
UR  - https://doi.org/10.11648/j.ijbse.20210903.11
AB  - The burden of under-five mortality remains unevenly distributed. About 80 percent of under-five deaths occur in two regions, sub-Saharan Africa and South Asia. Ethiopia is among the six countries that account for half of the global under-five deaths. The aim of this study was to identify the significant socio-economic and demographic factors influencing under-five child mortality and evaluate the variation among the regional states of Ethiopia. In this study, the 2000, 2005, 2011 and 2016 EDHS data were used to describe the trend of under-five mortality in Ethiopia. The 2016 EDHS data have been used to analyze determinants and variation of under-five mortality by background characteristics. Single-level logistic regression and multilevel logistic regression models were used to identify the major risk factors of under-five mortality and regional variations in under-five child mortality in Ethiopia using the 2016 EDHS data. The results from single-level and multilevel logistic regression analyses showed that Sex of a child, Age of a child in month, Birth type, Birth order number, Number of Household size, Breastfeeding status, Educational level of mother’s, Place of residence and type of toilet facility had significant effects on under-five child mortality and there is variation of under-five child mortality from region to region. Conversely, preceding birth interval, wealth index Household, Source of drinking water and place of delivery were found insignificant. The results revealed variation of under-five child mortality from region to region. The multilevel logistic regression analysis result showed that the effects of breastfeeding varied across regions whereas the effects of other covariates on under-five child mortality remained fixed across regions.
VL  - 9
IS  - 3
ER  -

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Mulugeta Tadesse Ankea

Department of Statistics, Natural and Computational Science, Addis Ababa University, Addis Ababa, Ethiopia

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APA Style

Mulugeta Tadesse Ankea. (2021). Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach. International Journal of Biomedical Science and Engineering, 9(3), 37-58. https://doi.org/10.11648/j.ijbse.20210903.11

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ACS Style

Mulugeta Tadesse Ankea. Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach. Int. J. Biomed. Sci. Eng. 2021, 9(3), 37-58. doi: 10.11648/j.ijbse.20210903.11

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AMA Style

Mulugeta Tadesse Ankea. Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach. Int J Biomed Sci Eng. 2021;9(3):37-58. doi: 10.11648/j.ijbse.20210903.11

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@article{10.11648/j.ijbse.20210903.11,
  author = {Mulugeta Tadesse Ankea},
  title = {Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach},
  journal = {International Journal of Biomedical Science and Engineering},
  volume = {9},
  number = {3},
  pages = {37-58},
  doi = {10.11648/j.ijbse.20210903.11},
  url = {https://doi.org/10.11648/j.ijbse.20210903.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbse.20210903.11},
  abstract = {The burden of under-five mortality remains unevenly distributed. About 80 percent of under-five deaths occur in two regions, sub-Saharan Africa and South Asia. Ethiopia is among the six countries that account for half of the global under-five deaths. The aim of this study was to identify the significant socio-economic and demographic factors influencing under-five child mortality and evaluate the variation among the regional states of Ethiopia. In this study, the 2000, 2005, 2011 and 2016 EDHS data were used to describe the trend of under-five mortality in Ethiopia. The 2016 EDHS data have been used to analyze determinants and variation of under-five mortality by background characteristics. Single-level logistic regression and multilevel logistic regression models were used to identify the major risk factors of under-five mortality and regional variations in under-five child mortality in Ethiopia using the 2016 EDHS data. The results from single-level and multilevel logistic regression analyses showed that Sex of a child, Age of a child in month, Birth type, Birth order number, Number of Household size, Breastfeeding status, Educational level of mother’s, Place of residence and type of toilet facility had significant effects on under-five child mortality and there is variation of under-five child mortality from region to region. Conversely, preceding birth interval, wealth index Household, Source of drinking water and place of delivery were found insignificant. The results revealed variation of under-five child mortality from region to region. The multilevel logistic regression analysis result showed that the effects of breastfeeding varied across regions whereas the effects of other covariates on under-five child mortality remained fixed across regions.},
 year = {2021}
}

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TY  - JOUR
T1  - Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach
AU  - Mulugeta Tadesse Ankea
Y1  - 2021/08/06
PY  - 2021
N1  - https://doi.org/10.11648/j.ijbse.20210903.11
DO  - 10.11648/j.ijbse.20210903.11
T2  - International Journal of Biomedical Science and Engineering
JF  - International Journal of Biomedical Science and Engineering
JO  - International Journal of Biomedical Science and Engineering
SP  - 37
EP  - 58
PB  - Science Publishing Group
SN  - 2376-7235
UR  - https://doi.org/10.11648/j.ijbse.20210903.11
AB  - The burden of under-five mortality remains unevenly distributed. About 80 percent of under-five deaths occur in two regions, sub-Saharan Africa and South Asia. Ethiopia is among the six countries that account for half of the global under-five deaths. The aim of this study was to identify the significant socio-economic and demographic factors influencing under-five child mortality and evaluate the variation among the regional states of Ethiopia. In this study, the 2000, 2005, 2011 and 2016 EDHS data were used to describe the trend of under-five mortality in Ethiopia. The 2016 EDHS data have been used to analyze determinants and variation of under-five mortality by background characteristics. Single-level logistic regression and multilevel logistic regression models were used to identify the major risk factors of under-five mortality and regional variations in under-five child mortality in Ethiopia using the 2016 EDHS data. The results from single-level and multilevel logistic regression analyses showed that Sex of a child, Age of a child in month, Birth type, Birth order number, Number of Household size, Breastfeeding status, Educational level of mother’s, Place of residence and type of toilet facility had significant effects on under-five child mortality and there is variation of under-five child mortality from region to region. Conversely, preceding birth interval, wealth index Household, Source of drinking water and place of delivery were found insignificant. The results revealed variation of under-five child mortality from region to region. The multilevel logistic regression analysis result showed that the effects of breastfeeding varied across regions whereas the effects of other covariates on under-five child mortality remained fixed across regions.
VL  - 9
IS  - 3
ER  -

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