Journal article
A new design of stochastic partnership models for epidemics of sexually transmitted diseases with stages
Mathematical biosciences, v 156(1)
1999
PMID: 10204389
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A problem of importance in modelling epidemics of sexually transmitted diseases is the development of mathematical structures accommodating sexual and other contacts among members of a population. Because these models may be complex, it is often necessary to use computer intensive methods in their analysis, which raises questions on the design of computer models. In this paper a new approach to designing models sexual contacts is presented within the context of a stochastic model accommodating the formation and dissolution of partnerships in heterosexual populations. Emphasis will be placed on the development of algorithms with a view towards developing software to implement computer intensive methods. Unlike previous formulations, rather than using rejection methods in Monte Carlo simulations to impose necessary constraints on random functions describing partnership formation, in the new formulation all constraints are satisfied with probability one.
Metrics
Details
- Title
- A new design of stochastic partnership models for epidemics of sexually transmitted diseases with stages
- Creators
- Charles J Mode - Drexel UniversityCandace K Sleeman - Drexel University
- Publication Details
- Mathematical biosciences, v 156(1)
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000079451500006
- Scopus ID
- 2-s2.0-0032925781
- Other Identifier
- 991019169108504721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biology
- Mathematical & Computational Biology