Publication Cover
Mathematical Population Studies
An International Journal of Mathematical Demography
Volume 29, 2022 - Issue 3
407
Views
2
CrossRef citations to date
0
Altmetric
Articles

Population models of diabetes mellitus by ordinary differential equations: a review

&
Pages 95-127 | Published online: 30 Sep 2021
 

ABSTRACT

Population models of diabetes using ordinary differential equations are reviewed. They are refined by incorporating non-diabetics, prediabetics, low awareness prediabetics, awareness prediabetics, and awareness programs. However, they may involve products and fractions that do not reflect what is known about reality or ignore the presence of time lags in the development of diabetes. No model takes into account the limited medical treatments considered. This review shows the need to consider finer specifications of interactions, time delays, and budget constraints in epidemiological modeling of diabetes.

JEL CLASSIFICATION:

Acknowledgment

We thank the reviewers and editors for their helpful comments.

Disclosure statement

The authors report no potential conflict of interest.

Additional information

Funding

The study was supported by the Ministry of Higher Education, Malaysia, under Fundamental Research Grant Scheme 59523 (FRGS/1/2018/STG06/UMT/02/2).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 651.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.