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The Prevalence and Determinants of Under-Five Mortality in Benue State, Nigeria

Bibliographic Data

ID16915788
AuthorsIssah N Abu (University of Nigeria), Ignatius Ani Madu (University of Nigeria), Chukwuedozie K Ajaero (0000-0002-6658-3638, University of Nigeria, corresponding author)
Year2015
Volume5
Issue4
Publication date2015-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/2158244015611938
OpenAlexW2261717666
LanguageEN
Citations received5
References cited9

This study examines the prevalence, and the socioeconomic and demographic determinants of under-five mortality in Benue State, Nigeria. Using a purposive random sampling technique, a total of 1,500 questionnaires were administered to women aged 15 to 49 years and who have ever given birth in 30 communities from 10 sampled local government areas in the state. In addition, focus group discussions and key informant interviews formed sources of data for this research. The analysis of data was carried out using descriptive statistics, child survival analysis, and probit regression model. The pattern of the prevalence of infant and child mortality showed that there are three major child killers in the study area: malaria (38.2%), complications at birth (29.5%), and measles (16.9%). The survival probability results show that children born to parents living in an urban area have more chances (72.6%) of survival, as against 71.4% for children born to parents living in a rural area. The probit regression analysis showed that the pregnancies ever had by the mothers has a greater marginal effect on child survival (6.7%) than the current age of mothers at birth (3.7%) and the age of mother at marriage (0.9%). Based on the findings, recommendations such as empowerment and education of mothers are suggested

Child mortality · Descriptive statistics · Economic growth · Empowerment · Geography · Infant mortality · Live birth · Local government · Local government area · Logistic regression · Measles · Population · Pregnancy · Probit model · Rural area · Socioeconomic status · Sociology · Demography · Global Health and Epidemiology · Global Maternal and Child Health · Medicine · Vaccine Coverage and Hesitancy

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  • Quantitative data analysis for social scientists

    Alan Bryman•Quantitative data analysis for…•1995

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  • Household income and child survival in Egypt

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  • An Analytical Framework for the Study of Child Survival in Developing Countries

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Unique citing works5
Citations per year0.63
Citation span2018 - 2024 (7)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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