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Moving from data on...
Moving from data on deaths to public health policy in Agincourt, South Africa : approaches to analysing and understanding verbal autopsy findings
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- Byass, Peter (author)
- Umeå universitet,Epidemiologi och global hälsa
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- Kahn, Kathleen (author)
- Umeå universitet,Epidemiologi och global hälsa
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- Fottrell, Edward (author)
- Umeå universitet,Epidemiologi och global hälsa
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- Collinson, Mark A (author)
- Umeå universitet,Epidemiologi och global hälsa
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- Tollman, Stephen M (author)
- Umeå universitet,Epidemiologi och global hälsa
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(creator_code:org_t)
- 2010-08-17
- 2010
- English.
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In: PLoS Medicine. - : Public Library of Science. - 1549-1277 .- 1549-1676. ; 7:8, s. e1000325-
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Abstract
Subject headings
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- 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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Publication and Content Type
- ref (subject category)
- art (subject category)
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