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A population dynamic model to assess the diabetes screening and reporting programs and project the burden of undiagnosed diabetes in Thailand

Abstract:

Diabetes mellitus (DM) is rising worldwide, exacerbated by aging populations. We estimated and predicted the diabetes burden and mortality due to undiagnosed diabetes together with screening program efficacy and reporting completeness in Thailand, in the context of demographic changes. An age and sex structured dynamic model including demographic and diagnostic processes was constructed. The model was validated using a Bayesian Markov Chain Monte Carlo (MCMC) approach. The prevalence of DM wa...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3390/ijerph16122207

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Oxford college:
Wadham College
Role:
Author
ORCID:
0000-0002-6523-185X
Publisher:
MDPI
Journal:
International Journal of Environmental Research and Public Health More from this journal
Volume:
16
Issue:
12
Pages:
2207
Publication date:
2019-06-21
Acceptance date:
2019-05-30
DOI:
EISSN:
1660-4601
ISSN:
1661-7827
Pmid:
31234452
Language:
English
Keywords:
Pubs id:
pubs:1027131
UUID:
uuid:6f2539e2-4db6-4545-a15c-93adce835e13
Local pid:
pubs:1027131
Source identifiers:
1027131
Deposit date:
2019-09-09

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