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Moving from data on deaths to public health policy in Agincourt, South Africa : approaches to analysing and understanding verbal autopsy findings

Byass, Peter (author)
Umeå universitet,Epidemiologi och global hälsa
Kahn, Kathleen (author)
Umeå universitet,Epidemiologi och global hälsa
Fottrell, Edward (author)
Umeå universitet,Epidemiologi och global hälsa
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Collinson, Mark A (author)
Umeå universitet,Epidemiologi och global hälsa
Tollman, Stephen M (author)
Umeå universitet,Epidemiologi och global hälsa
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 (creator_code:org_t)
2010-08-17
2010
English.
In: PLoS Medicine. - : Public Library of Science. - 1549-1277 .- 1549-1676. ; 7:8, s. e1000325-
  • Journal article (peer-reviewed)
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)

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Byass, Peter
Kahn, Kathleen
Fottrell, Edward
Collinson, Mark ...
Tollman, Stephen ...
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MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
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and Public Health Gl ...
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PLoS Medicine
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Umeå University

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