{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/13078"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/13078","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"Spatial analysis of child mortality in South Africa in relation to poverty and inequality : evidences from the 2011 census","abstract":"Subnational estimates of child mortality are difficult to produce and are rare in Sub- Saharan Africa. It is the overall aim of this research to derive estimates of child mortality rates for the municipalities and provinces of South Africa using the 2011 census data, and to assess the results in relation to the level of poverty and inequality. The estimation of child mortality rates is achieved through the use of direct synthetic cohort methods with Bayesian spatial smoothing. The Bayesian spatial smoothing process is used to generate municipal level estimates of child mortality rates. The model utilises information from neighbouring municipalities by controlling the effects of women’s education and HIV/AIDS.","abstract_html":"Subnational estimates of child mortality are difficult to produce and are rare in Sub- Saharan Africa. It is the overall aim of this research to derive estimates of child mortality rates for the municipalities and provinces of South Africa using the 2011 census data, and to assess the results in relation to the level of poverty and inequality. The estimation of child mortality rates is achieved through the use of direct synthetic cohort methods with Bayesian spatial smoothing. The Bayesian spatial smoothing process is used to generate municipal level estimates of child mortality rates. 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