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Under age five children survival times in Nigeria

A Bayesian spatial modeling approach

Bibliographic Data

ID15380434
AuthorsOsafu Augustine Egbon (0000-0002-5890-7954, Universidade de São Paulo), Mariella Ananias Bogoni (Brazilian Society of Computational and Applied Mathematics), Bayowa Teniola Babalola (0000-0002-7218-4510, Kampala International University, corresponding author), Francisco Louzada Neto (0000-0001-7815-9554, Brazilian Society of Computational and Applied Mathematics), Francisco Louzada
Year2022
Volume22
Issue1
Pages2207-2207
Publication date2022-11-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-022-14660-1
PMID36443732
OpenAlexW4310190384
LanguageEN
Citations received2
References cited39

This study accentuates the need for special attention for the first two months after childbirth as it is the age group with the highest expected mortality. A practicable way to minimize death in the early life of children is to improve maternal healthcare service, promote maternal education, encourage delivery in healthcare facilities, positive parental attitude to support multiple births, poverty alleviation programs for the less privileged, and a prioritized intervention to Northern Nigeria

Akaike information criterion · Bayesian inference · Bayesian probability · Biostatistics · Child mortality · Confidence interval · Covariate · Deviance information criterion · Environmental health · Hazard ratio · Marital status · Population · Proportional hazards model · Residence · Socioeconomic status · Statistics · Survival analysis · Survivorship curve · Demography · Global Health Care Issues · Global Maternal and Child Health · Insurance, Mortality, Demography, Risk Management · Mathematics · Medicine · Epidemiology

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Unique citing works2
Citations per year2
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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