Dynamic transmission modeling: A report of the ISPOR-SMDM modeling good research practices task force-5

Pitman, R., Fisman, D., Zaric, G. S., Postma, M., Kretzschmar, M., Edmunds, J. & Brisson, M., 2012, In : Value in Health. 15, 6, p. 828-834 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

  • Richard Pitman
  • David Fisman
  • Gregory S. Zaric
  • Maarten Postma
  • Mirjam Kretzschmar
  • John Edmunds
  • Marc Brisson
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 article. © 2012 International Society for Pharmacoeconomics and Outcomes Research (ISPOR).
Original languageEnglish
Pages (from-to)828-834
Number of pages7
JournalValue in Health
Issue number6
Publication statusPublished - 2012


  • best practices, dynamic transmission, infectious disease, modeling, article, chlamydiasis, communicable disease, disease transmission, infection, malaria, medical research, model, nonhuman, papillomavirus infection, parasite transmission, pathogenesis, pneumococcal infection, priority journal, vaccination

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