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Identification of differences in health impact modelling of salt reduction.

Abstract:

We examined whether specific input data and assumptions explain outcome differences in otherwise comparable health impact assessment models. Seven population health models estimating the impact of salt reduction on morbidity and mortality in western populations were compared on four sets of key features, their underlying assumptions and input data. Next, assumptions and input data were varied one by one in a default approach (the DYNAMO-HIA model) to examine how it influences the estimated he...

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Publication status:
Published
Peer review status:
Peer reviewed

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Role:
Author
ORCID:
0000-0001-8699-0364
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Role:
Author
ORCID:
0000-0001-7638-0589
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Dept of Population Health
Sub department:
Population Health
Oxford college:
St Anne's College
Role:
Author
ORCID:
0000-0002-2271-6494
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Name:
British Heart Foundation
Grant:
FS/15/34/31656
Publisher:
Public Library of Science
Journal:
PLoS ONE More from this journal
Volume:
12
Issue:
11
Pages:
e0186760
Publication date:
2017-11-28
Acceptance date:
2017-10-06
DOI:
EISSN:
1932-6203
Pmid:
29182636
Language:
English
Keywords:
Pubs id:
pubs:803347
UUID:
uuid:ac4c1268-0e93-45d6-95a7-b01dc8366c44
Local pid:
pubs:803347
Source identifiers:
803347
Deposit date:
2019-02-28

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