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Interva Inc interva-4 model 2012 version
Cause-specific mortality fractions by age group as assigned by the <t> InterVA-4 model </t>
Interva 4 Model 2012 Version, supplied by Interva Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/interva-4 model 2012 version/product/Interva Inc
Average 90 stars, based on 1 article reviews
interva-4 model 2012 version - by Bioz Stars, 2026-04
90/100 stars

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Article Title: Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model

Journal: Global Health Action

doi: 10.3402/gha.v7.25593

Cause-specific mortality fractions by age group as assigned by the  InterVA-4 model
Figure Legend Snippet: Cause-specific mortality fractions by age group as assigned by the InterVA-4 model

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Interva Inc interva-4 model 2012 version
Cause-specific mortality fractions by age group as assigned by the <t> InterVA-4 model </t>
Interva 4 Model 2012 Version, supplied by Interva Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/interva-4 model 2012 version/product/Interva Inc
Average 90 stars, based on 1 article reviews
interva-4 model 2012 version - by Bioz Stars, 2026-04
90/100 stars
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Cause-specific mortality fractions by age group as assigned by the  InterVA-4 model

Journal: Global Health Action

Article Title: Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model

doi: 10.3402/gha.v7.25593

Figure Lengend Snippet: Cause-specific mortality fractions by age group as assigned by the InterVA-4 model

Article Snippet: In the current study, we have used this method as the basis for assigning CODs in 4,460 subjects of all ages who were residents of the KHDSS area on the coast of Kenya, where we used the 2012 version of the InterVA-4 model to interpret VA data collected using the 2007 version of the WHO VA questionnaires.

Techniques: