Abstract
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).
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Ghilagaber, G., Antai, D., Kandala, NB. (2014). Modeling Spatial Effects on Childhood Mortality Via Geo-additive Bayesian Discrete-Time Survival Model: A Case Study from Nigeria. In: Kandala, NB., Ghilagaber, G. (eds) Advanced Techniques for Modelling Maternal and Child Health in Africa. The Springer Series on Demographic Methods and Population Analysis, vol 34. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6778-2_3
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