Publication

Dynamic transmission modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force Working Group-5.

Pitman, R., Fisman, D., Zaric, G. S., Postma, M., Kretzschmar, M., Edmunds, J., Brisson, M. & ISPOR-SMDM Modeling Good Research Practices Task Force, N. V., 2012, In : Medical decision making : an international journal of the Society for Medical Decision Making. 32, 5, p. 712-721 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

  • Richard Pitman
  • David Fisman
  • Gregory S Zaric
  • Maarten Postma
  • Mirjam Kretzschmar
  • John Edmunds
  • Marc Brisson
  • [No Value] ISPOR-SMDM Modeling Good Research Practices Task Force
The transmissible nature of communicable diseases is what sets them apart from other diseases modeled by health economists. The probability of a susceptible individual becoming infected at any one point in time (the force of infection) is related to the number of infectious individuals in the population, will change over time, and will feed back into the future force of infection. These nonlinear interactions produce transmission dynamics that require specific consideration when modeling an intervention that has an impact on the transmission of a pathogen. Best practices for designing and building these models are set out in this paper.
Original languageEnglish
Pages (from-to)712-721
Number of pages10
JournalMedical decision making : an international journal of the Society for Medical Decision Making
Volume32
Issue number5
Publication statusPublished - 2012

    Keywords

  • article, epidemic, human, medical research, probability, theoretical model, uncertainty

ID: 19573626