Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/6353
Title: Spatial modelling and mapping of socio-demographic determinants of infant mortality in Kenya
Authors: Mutwiri, Robert M.
Keywords: Infant mortality
Indicators
Geostatistics
Spatial Generalized Linear models
Bayesian Spatial Modelling
Mapping
Issue Date: Mar-2016
Citation: Journal Of Humanities And Social Science (IOSR-JHSS) Volume 21, Issue 3, Ver. II, PP 70-77
Abstract: This paper addresses the problem of monitoring the infant and child mortality from point referenced data. Indicators of the determinants of child survival based on Mosley and Chen framework are derived and used to model the spatial distribution of infant mortality. Spatial generalised linear model which assumes a Bernoulli dis-tribution to model the indicator determinants of child survival. A smooth map of the predicted values at both sampled and the un sampled is produced. We find evidence of spatial autocorrelation in the data and the smooth map indicates the hot spot of infant mortality where more resources are needed to attain the millennium develop-ment goal four
Description: DOI: 10.9790/0837-2103027077
URI: https://www.iosrjournals.org/iosr-jhss/papers/Vol.%2021%20Issue3/Version-2/K2103027077.pdf
http://repository.seku.ac.ke/handle/123456789/6353
ISSN: 2279-0837
2279-0845
Appears in Collections:School of Science and Computing (JA)



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