Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Geographical disparities and determinants of infant mortality in Ethiopia: mapping and spatial analysis using EDHS data

Domaine:

healthcaregeospatial
Créateur:
BerAshAbaGet
Éditeur:
Spr
Hôte:
Abstract Background Infant mortality remains a public health challenge in Ethiopia. Exploring infant mortality will aid in tracking the progress toward achieving sustainable development goals. Objective The study aimed to explore the geographical variations and associated factors of infant mortality in Ethiopia. Method A total of 11,023 infants from the 2016 Ethiopian Demographic and Health Survey (EDHS) data were extracted and included in the analysis. EDHS used a two-stage cluster sampling design with a census enumeration area as the primary sampling unit and households as the secondary sampling unit. Arc GIS software was used for spatial analysis using clusters for exploring geographical variations in infant mortality. A binary logistic regression was employed using R software to identify the significant determinants of infant mortality. Results The study revealed that the spatial distribution of infant mortality was non-random in the country. Infants whose mothers not receiving ANC (AOR = 1.45; 95%CI: 1.17, 1.79), not breastfed status (AOR = 3.94; 95%CI: 3.19, 4.81), poor wealth index (AOR = 1.36; 95%CI: 1.04, 1.77), male infants (AOR = 1.59; 95%CI: 1.29, 1.95), birth order of six or above (AOR = 3.11; 95%CI: 2.08, 4.62), small birth size (AOR = 1.27; 95%CI: 1.26, 1.60), birth spacing [( ≤  24 months (AOR = 2.29; 95%CI: 1.79, 2.92), 25–36 months (AOR = 1.16; 95%CI: 1.12, 1.49)], multiple births (AOR = 6.82; 95%CI: 4.76, 10.81), rural residence (AOR = 1.63; 95%CI: 1.05, 2.77) and regions [Afar (AOR = 1.54; 95%CI: 1.01, 2.36), Harari (AOR = 1.56; 95%CI: 1.04, 2.56), and Somali (AOR = 1.52; 95%CI: 1.03, 2.39)] were the determinants of infant death in Ethiopia. Conclusions There is a great geographical disparity in infant mortality rates across regions. Afar, Harari, and Somali regions were verified as hot spot areas. ANC usage, breastfed status, wealth index, sex of the infant, birth order, birth size, birth spacing, birth type, residence, and region were the determinants of infant death in Ethiopia. Therefore, appropriate interventions need to be implemented in the hot spots to alleviate the risk factors for infant mortality.

Visit

doi.org

Languages

AmharicHarariSomali

Licenses

https://creativecommons.org/licenses/by/4.0https://creativecommons.org/licenses/by/4.0

Similaires

Spatial disparities and determinants of perinatal mortality in Lesotho using multiscale geographically weighted regressionSpatial pattern and associated factors of timely vaccination in Ethiopia using EDHS-2016 data: A multilevel and spatial analysisSpatial Distribution of Infant Mortality in Ethiopia: Using Demographic Health Survey, the EthiopiaGeospatial distribution and predictors of postnatal care utilization during the critical time in Ethiopia using EDHS 2019: A spatial and geographical weighted regression analysisSpatio-temporal distribution and determinants of home delivery in Ethiopia. Multilevel and spatial analysis of EDHS 2005- 2016Determinants of births protected against neonatal tetanus in Ethiopia: A multilevel analysis using EDHS 2016 data

Spatial disparities and determinants of perinatal mortality in Lesotho using multiscale geographically weighted regression

Abstract Perinatal mortality is a major public health challenge in many developi

Spatial pattern and associated factors of timely vaccination in Ethiopia using EDHS-2016 data: A multilevel and spatial analysis

Background Age-appropriate vaccination or vaccine timeliness is the administering of vaccines on t

Spatial Distribution of Infant Mortality in Ethiopia: Using Demographic Health Survey, the Ethiopia

Abstract Background Mortality is one of the demographic variables that affect population

Geospatial distribution and predictors of postnatal care utilization during the critical time in Ethiopia using EDHS 2019: A spatial and geographical weighted regression analysis

Introduction Postnatal care within 2 days after delivery is classified as early postnatal care. Ma

Spatio-temporal distribution and determinants of home delivery in Ethiopia. Multilevel and spatial analysis of EDHS 2005- 2016

Abstract Background: Globally, only 80% of live births occurred at health facilities assis

Determinants of births protected against neonatal tetanus in Ethiopia: A multilevel analysis using EDHS 2016 data

Background Even though there is low coverage of maternal health services such as antenatal care and