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Pooled prevalence of neonatal mortality, its Spatial distribution and associated factors in Sub –Saharan Africa: Demographic and Health Survey 2015-2023

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dc.contributor.author Eyayu, Betelhem
dc.date.accessioned 2025-07-07T12:24:44Z
dc.date.available 2025-07-07T12:24:44Z
dc.date.issued 2025-07-07
dc.identifier.uri http://hdl.handle.net/123456789/9248
dc.description.abstract Background: Neonatal mortality is a major global public health challenge, especially pronounced in low- and middle-income countries, with a notable impact in Sub-Saharan Africa. Although there are studies done on neonatal mortality in different areas, as to our search of pieces of literature, there is a limited study on pooled prevalence, spatial distribution, and determinants of neonatal mortality in sub-Saharan Africa after initiation of sustainable development goal. Objective: To assess pooled prevalence of neonatal mortality, its spatial distribution and associated factors in Sub-Saharan Africa countries based on Demographic and Health Survey 2015 to 2023. Methods: Community based cross-sectional study was conducted among a weighted sample of 294,410 mothers of live birth in Sub-Saharan Africa countries. The source data was Demographic and Health Survey conducted from 2015 to 2023 in 26 Sub Saharan African countries. The global spatial autocorrelation was assessed using the global Moran’s-I to evaluate the spatial clustering of neonatal mortality. Significant clusters with high and low rates of neonatal mortality were explored. A multilevel binary logistic regression was fitted to identify the significant determinants of neonatal mortality. Variables with a p-value < 0.02 in the bivariate analysis were considered in the multivariable analysis. Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) at p value<0.05 were reported to declare statistically significant determinants of neonatal mortality. Result: - The pooled prevalence of neonatal mortality in sub-Saharan African countries was 25.87 (95% CI, 23.71, 28.23) per 1000 live births. Hot spot areas were located in Nigeria, Benin, the western part of Senegal, Guinea, the western part of Burkina Faso, Malawi, central Ethiopia, Uganda, the central part of Madagascar, and Angola. In multilevel analysis Mother’s with age >35 years (AOR=1.38, 95%CI:1.25,1.52), male neonates (AOR=1.31,95% CI: 1.21,1.42), smaller birth weight (AOR=2.90, 95%CI:2.44,3.44) and large birth weight (AOR=4.11, 95%CI:3.67,4.60), birth interval less than 2 years (AOR=1.77,95%CI:1.6-1.96), late initiation of breast feeding (AOR=3.79,95%CI:3.45,4.16), multiple birth newborns (AOR=9.22,95%CI:7.99,10.64), had no ANC visit (AOR=1.50,95%CI:1.32,1.70), and C/S delivery (AOR=1.43,95%CI:1.2,1.66),rural residence (AOR=1.22,95%CI:0.75, 1.38) and unimproved water source (AOR=1.2,95%CI:1.02,1.31) were statistically significant variables for neonatal mortality. Conclusion: - Neonatal mortality in sub-Saharan Africa was unacceptably high and the spatial distribution of neonatal mortality was significantly varied across the sub-Saharan African country. Both individual and community-level factors were significantly associated with the neonatal mortality. Therefore, public health programmers and other stalk holders who are involved in neonatal and maternal healthcare should work together and give priority to hotspot areas of neonatal mortality in sub-Saharan Africa. en_US
dc.description.sponsorship uog en_US
dc.language.iso en en_US
dc.subject Neonatal mortality, Sub-Saharan Africa, Spatial, multi-level analysis en_US
dc.title Pooled prevalence of neonatal mortality, its Spatial distribution and associated factors in Sub –Saharan Africa: Demographic and Health Survey 2015-2023 en_US
dc.type Thesis en_US


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