Macro Determinants of Geographical Variation in Childhood Survival in South Africa Using Flexible Spatial Mixture Models

Samuel O. M. Manda ()
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Samuel O. M. Manda: South African Medical Research Council, Biostatistics Unit

Chapter Chapter 8 in Advanced Techniques for Modelling Maternal and Child Health in Africa, 2014, pp 147-168 from Springer

Abstract: Abstract In many societies around the world, social and economic programmes have been put in place aimed at improving the health of the populations. This is premised on evidence that a healthy population is economically more active; thus contributing to efforts meant to lowering levels of poverty (Romani and Anderson 2002). Leading indicators of overall social-economic development and health status of a country are infant (under 1 year) mortality and under-five mortality rates(Romani and Andersen 2002; Bradshaw et al. 2004; Burgard and Treiman 2006). Under-five mortality rate, defined as the number of children younger than 5 years who die out of 1,000 live births, is a Millennium Development Goal 4 (MDG4) indicator (United Nations 2012b). Furthermore, in conditions where HIV/AIDS is pandemic, childhood death rates are important for investigating inequalities regarding HIV policies and services; in particular, differential rates of mother-to-child transmission (MTCT) of HIV (Bradshaw et al. 2004).

Keywords: Childhood Mortality; Birth Interval; Deviance Information Criterion; Frailty Model; Mortality Hazard (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-94-007-6778-2_8

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