Published Jun 2012
Pitman RJ, Fisman D, Zaric GS, et al. Dynamic transmission modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-5. Value Health. 2012;15(5):828-834.
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.
Keywords: dynamic transmission, best practices, infectious disease, modeling.
Copyright © 2017, International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc.
Full ContentLog In to View Report
- Modeling Good Research Practices - Overview: Report 1
- Conceptualizing a Model: Report 2
- State-transition modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3
- Modeling Using Discrete Event Simulation: Report 4
- Model Parameter Estimation and Uncertainty Analysis: Report 6
- Model Transparency and Validation: Report 7