Moving from data on deaths to public health policy in Agincourt, South Africa: approaches to analysing and understanding verbal autopsy findings
2010 (English)In: PLoS Medicine, ISSN 1549-1277, E-ISSN 1549-1676, Vol. 7, no 8, e1000325- p.Article in journal (Refereed) Published
There were no differences between physician interpretation and probabilistic modelling that might have led to substantially different public health policy conclusions at the population level. Physician interpretation was more nuanced than the model, for example in identifying cancers at particular sites, but did not capture the uncertainty associated with individual cases. Probabilistic modelling was substantially cheaper and faster, and completely internally consistent. Both approaches characterised the rise of HIV-related mortality in this population during the period observed, and reached similar findings on other major causes of mortality. For many purposes probabilistic modelling appears to be the best available means of moving from data on deaths to public health actions. Please see later in the article for the Editors' Summary.
Place, publisher, year, edition, pages
Public Library of Science , 2010. Vol. 7, no 8, e1000325- p.
Public Health, Global Health, Social Medicine and Epidemiology
IdentifiersURN: urn:nbn:se:umu:diva-38445DOI: 10.1371/journal.pmed.1000325ISI: 000281456500011PubMedID: 20808956OAI: oai:DiVA.org:umu-38445DiVA: diva2:378052
FunderFAS, Swedish Council for Working Life and Social Research, 2006-1512Wellcome trust, 058893/Z/99/A and 069683/Z/02/Z)
Funder/forskningsfinansiär: University of the Witwatersrand and Medical Research Council, South Africa2010-12-152010-12-152015-04-29Bibliographically approved