title: Dynamic transmission modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--5.
abstract: 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.
authors.affiliation: Oxford Outcomes, Oxford, UK. Richard.Pitman@oxfordoutcomes.com
authors.forename: Richard
authors.initials: R
authors.lastname: Pitman
authors.forename: David
authors.initials: D
authors.lastname: Fisman
authors.forename: Gregory S
authors.initials: GS
authors.lastname: Zaric
authors.forename: Maarten
authors.initials: M
authors.lastname: Postma
authors.forename: Mirjam
authors.initials: M
authors.lastname: Kretzschmar
authors.forename: John
authors.initials: J
authors.lastname: Edmunds
authors.forename: Marc
authors.initials: M
authors.lastname: Brisson
mesh_terms: D026683:Advisory Committees; D057186:Comparative Effectiveness Research; D018562:Disease Transmission, Infectious; D055317:Evidence-Based Practice; D006801:Humans; D008962:Models, Theoretical; D017410:Practice Guidelines as Topic; D012984:Software; D035501:Uncertainty