Spatial modelling and mapping of socio-demographic determinants of infant mortality in Kenya

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dc.contributor.author Mutwiri, Robert M.
dc.date.accessioned 2021-10-07T11:50:47Z
dc.date.available 2021-10-07T11:50:47Z
dc.date.issued 2016-03
dc.identifier.citation Journal Of Humanities And Social Science (IOSR-JHSS) Volume 21, Issue 3, Ver. II, PP 70-77 en_US
dc.identifier.issn 2279-0837
dc.identifier.issn 2279-0845
dc.identifier.uri https://www.iosrjournals.org/iosr-jhss/papers/Vol.%2021%20Issue3/Version-2/K2103027077.pdf
dc.identifier.uri http://repository.seku.ac.ke/handle/123456789/6353
dc.description DOI: 10.9790/0837-2103027077 en_US
dc.description.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 en_US
dc.language.iso en en_US
dc.subject Infant mortality en_US
dc.subject Indicators en_US
dc.subject Geostatistics en_US
dc.subject Spatial Generalized Linear models en_US
dc.subject Bayesian Spatial Modelling en_US
dc.subject Mapping en_US
dc.title Spatial modelling and mapping of socio-demographic determinants of infant mortality in Kenya en_US
dc.type Article en_US


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