title: Dynamic transmission modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force Working Group-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 paper.
authors.affiliation: Oxford Outcomes, Oxford, United Kingdom (RP)
authors.forename: Richard
authors.initials: R
authors.lastname: Pitman
authors.affiliation: Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada (DF)
authors.forename: David
authors.initials: D
authors.lastname: Fisman
authors.affiliation: Ivey School of Business, University of Western Ontario, London, Canada (GSZ)
authors.forename: Gregory S
authors.initials: GS
authors.lastname: Zaric
authors.affiliation: Unit of PharmacoEpidemiology and PharmacoEconomics, Department of Pharmacy, University of Groningen, Groningen, Netherlands (MP)
authors.forename: Maarten
authors.initials: M
authors.lastname: Postma
authors.affiliation: Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, and Center for Infectious Disease Control, RIVM, Bilthoven, Netherlands (MK)
authors.forename: Mirjam
authors.initials: M
authors.lastname: Kretzschmar
authors.affiliation: Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine,
  London, United Kingdom (JE)
authors.forename: John
authors.initials: J
authors.lastname: Edmunds
authors.affiliation: URESP, Centre de Recherche FRSQ du CHA Universitaire de Que´ bec and De´ partement de Me´ decine Sociale et Pre´ ventive, Laval University, Quebec City, Canada (MB)
authors.forename: Marc
authors.initials: M
authors.lastname: Brisson
mesh_terms: D035843:Biomedical Research; D004196:Disease Outbreaks; D006801:Humans; D008962:Models, Theoretical; D011336:Probability; D035501:Uncertainty