Delay differential models in dynamic diseases

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This is a review article to show that delay differential models have a richer mathematical framework (compared with models without memory or aftereffects) and better consistency with dynamical diseases such as immunology, physiology and epidemiology. The article also provides a general computational technique to treat numerically the emerging delay differential models.

Original languageEnglish
Title of host publication2nd International Conference on Bioinformatics and Computational Biology 2010, BICoB 2010
Pages73-79
Number of pages7
Publication statusPublished - Dec 1 2010
Event2nd International Conference on Bioinformatics and Computational Biology 2010, BICoB 2010 - Honolulu, HI, United States
Duration: Mar 24 2010Mar 26 2010

Publication series

Name2nd International Conference on Bioinformatics and Computational Biology 2010, BICoB 2010

Other

Other2nd International Conference on Bioinformatics and Computational Biology 2010, BICoB 2010
Country/TerritoryUnited States
CityHonolulu, HI
Period3/24/103/26/10

Keywords

  • DDE solvers (RK methods)
  • Epidemiology
  • Immunology
  • Mathematical model
  • Physiology
  • Susceptible-infectious-removed (SIR) model
  • Time-lags

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Information Management

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