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

doi:10.1016/j.jval.2012.06.011

Dynamic transmission modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--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 article.

Original language	English
Pages (from-to)	828-834
Number of pages	7
Journal	Value in Health
Volume	15
Issue number	6
DOIs	https://doi.org/10.1016/j.jval.2012.06.011
Publication status	Published - 2012

Keywords

Advisory Committees
Comparative Effectiveness Research
Disease Transmission, Infectious
Evidence-Based Practice
Humans
Models, Theoretical
Practice Guidelines as Topic
Software
Uncertainty

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10.1016/j.jval.2012.06.011

http://www.ncbi.nlm.nih.gov/pubmed/22999132

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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.",

keywords = "Advisory Committees, Comparative Effectiveness Research, Disease Transmission, Infectious, Evidence-Based Practice, Humans, Models, Theoretical, Practice Guidelines as Topic, Software, Uncertainty",

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

year = "2012",

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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

Y1 - 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 article.

KW - Advisory Committees

KW - Comparative Effectiveness Research

KW - Disease Transmission, Infectious

KW - Evidence-Based Practice

KW - Humans

KW - Models, Theoretical

KW - Practice Guidelines as Topic

KW - Software

KW - Uncertainty

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SP - 828

EP - 834

JO - Value in Health

JF - Value in Health

IS - 6

ER -

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

Abstract

Keywords

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