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

doi:10.1177/0272989X12454578

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

Julius Center, dept. Epidemiology & Health Economics

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	712-721
Number of pages	10
Journal	Medical Decision Making
Volume	32
Issue number	5
DOIs	https://doi.org/10.1177/0272989X12454578
Publication status	Published - 2012

Keywords

Biomedical Research
Disease Outbreaks
Humans
Models, Theoretical
Probability
Uncertainty

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10.1177/0272989X12454578

http://www.ncbi.nlm.nih.gov/pubmed/22990086

Cite this

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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.",

keywords = "Biomedical Research, Disease Outbreaks, Humans, Models, Theoretical, Probability, Uncertainty",

author = "Richard Pitman and David Fisman and Zaric, {Gregory S} and Maarten Postma and Mirjam Kretzschmar and John Edmunds and Marc Brisson",

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AU - Pitman, Richard

AU - Fisman, David

AU - Zaric, Gregory S

AU - Postma, Maarten

AU - Kretzschmar, Mirjam

AU - Edmunds, John

AU - Brisson, Marc

PY - 2012

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AB - 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.

KW - Biomedical Research

KW - Disease Outbreaks

KW - Humans

KW - Models, Theoretical

KW - Probability

KW - Uncertainty

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JO - Medical Decision Making

JF - Medical Decision Making

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ER -

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

Abstract

Keywords

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