Please use this identifier to cite or link to this item: http://hdl.handle.net/10311/1887
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dc.contributor.authorForcheh, Ntonghanwah-
dc.contributor.authorSetlhare, Keamogetse-
dc.contributor.authorAmey, Alphonse K.A.-
dc.date.accessioned2019-02-14T08:28:54Z-
dc.date.available2019-02-14T08:28:54Z-
dc.date.issued2014-
dc.identifier.citationForcheh, N., Setlhare, K. & Amey, K.A.A. (2014) Modeling severity of tuberculosis as a multiple cause of death in South Africa. Journal of Tuberculosis Research, Vol. 2, pp. 16-29en_US
dc.identifier.issn2329-843X-
dc.identifier.urihttp://hdl.handle.net/10311/1887-
dc.description.abstractThe multiple cause of death (MCOD) analysis is used to account for the full contribution of TB as acause of death to South African mortality in 2008 that were coded using ICD10. Following a review of MCOD methods, a sufficient set of variables for use in MCOD and a new method of quantifying the severity of each cause of death are proposed. The results show that a total of 86,818 (14.3% ofall deaths) were TB related, and within all deaths due to natural underlying causes, 86,373 (16.1%)were TB related. Furthermore, 42,581 (7.9%) were due to TB only, 6.0% had TB as an underlying cause along with other contributory causes and 2.0% had TB as a contributory cause. TB was mentioned as the underlying cause of death in 74,863 certificates or 13.9% of deaths due to naturalunderlying causes. Further analysis using multinomial baseline logit models, reveals that the relative odds of death in any demographic group compared with death in the baseline categories depend on the severity level of TB considered. It is proposed that the severity measure should be adopted when studying the contribution of all main causes of death to total mortality.en_US
dc.language.isoenen_US
dc.publisherScientific Research, www.scirp.org/en_US
dc.subjectContributory cause of deathen_US
dc.subjectMultinomial logit baseline modelen_US
dc.subjectSouth African MCODen_US
dc.titleModeling severity of tuberculosis as a multiple cause of death in South Africaen_US
dc.typePublished Articleen_US
dc.linkhttps://pdfs.semanticscholar.org/b887/768e2a5d140e90861811375b6f87b7d7b8fc.pdfen_US
Appears in Collections:Research articles (Dept of Statistics)

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