Evidence map›Paper›PMID 25884813›Full record

ArticleBMC public health2015

Structured additive regression models with spatial correlation to estimate under-five mortality risk factors in Ethiopia.

Dawit G Ayele, Temesgen T Zewotir, Henry G Mwambi

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Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
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24citing papers in PubMed, 3 pooled it
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  18. A Scoping Review of Spatial Analysis Approaches Using Health Survey Data in Sub-Saharan Africa.International journal of environmental research and public health · 2020
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Dawit G AyeleSchool of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Private Bag X01, Pietermaritzburg, Scottsville, 3209, South Africa. ayele@ukzn.ac.za.
Temesgen T ZewotirSchool of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Private Bag X01, Pietermaritzburg, Scottsville, 3209, South Africa. zewotir@ukzn.ac.za.
Henry G MwambiSchool of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Private Bag X01, Pietermaritzburg, Scottsville, 3209, South Africa. mwambih@ukzn.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe risk of a child dying before reaching five years of age is highest in Sub-Saharan African countries. But Child mortality rates have shown substantial decline in Ethiopia. It is important to identify factors affecting under-five mortality.

methodsA structured additive logistic regression model which accounts the spatial correlation was adopted to estimate under-five mortality risk factors. The 2011 Ethiopian Demographic and Health Survey data was used for this study.

resultsThe analysis showed that the risk of under-five mortality increases as the family size approaches seven and keeps increasing. With respect to socio-economic factors, the greater the household wealth, the lower the mortality. Moreover, for older mothers, the chance of their child to dying before reaching five is diminishes.

conclusionThe model enables simultaneous modeling of possible nonlinear effects of covariates, spatial correlation and heterogeneity. Our findings are relevant because the identified risk factors can be used to provide priority areas for intervention activities by the government to combat under-five mortality in Ethiopia.

Indexed as

Child MortalityFamily CharacteristicsChild, PreschoolDemographyEthiopiaFemaleHealth SurveysHumansInfantLogistic ModelsMaleModels, TheoreticalRisk AssessmentRisk Factors

Identifiers

PMID25884813
PMCPMC4373119

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.