Dynamic Transmission Modeling
Richard Pitman,
David Fisman,
Gregory S. Zaric,
Maarten Postma,
Mirjam Kretzschmar,
John Edmunds and
Marc Brisson
Medical Decision Making, 2012, vol. 32, issue 5, 712-721
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: modeling; methods; dynamic transmission; good practices; infectious disease (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0272989X12454578 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:32:y:2012:i:5:p:712-721
DOI: 10.1177/0272989X12454578
Access Statistics for this article
More articles in Medical Decision Making
Bibliographic data for series maintained by SAGE Publications ().