Modeling Spatial Effects on Childhood Mortality Via Geo-additive Bayesian Discrete-Time Survival Model: A Case Study from Nigeria

  • Gebrenegus Ghilagaber
  • Diddy Antai
  • Ngianga-Bakwin Kandala
Part of the The Springer Series on Demographic Methods and Population Analysis book series (PSDE, volume 34)


Childhood mortality is an important indicator of overall health and development in a country. It is the result of a complex interplay of determinants at many levels, and as such several studies have recognized that, for instance, maternal (Caldwell 1979; Cleland and van Ginneken 1988), socio-economic (Castro-Leal et al. 1999; Wagstaff 2001), and environmental (Wolfe and Behrman 1982; Lee et al. 1997) factors are important determinants of childhood mortality. However, only a few studies have incorporated environmental factors that are spatial in nature and derived from geographic databases, such as distances from households or communities (Watson et al. 1997).


Childhood Mortality Spatial Effect Birth Interval Deviance Information Criterion Markov Chain Monte Carlo Simulation 
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Copyright information

© Springer Science+Business Media Dordrecht. 2014

Authors and Affiliations

  • Gebrenegus Ghilagaber
    • 1
  • Diddy Antai
    • 2
  • Ngianga-Bakwin Kandala
    • 3
  1. 1.Department of StatisticsStockholm UniversityStockholmSweden
  2. 2.Department of Public Health SciencesKarolinska InstituteStockholmSweden
  3. 3.Warwick Medical School, Division of Health SciencesUniversity of WarwickCoventryUK

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