Journal article
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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Authors
Bibliographic Details
- Publisher:
- MDPI Publisher's website
- Journal:
- International Journal of Environmental Research and Public Health Journal website
- 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
Item Description
- 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
Terms of use
- Copyright holder:
- Mahikul et al
- Copyright date:
- 2019
- Notes:
- © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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