A rigorous approach to investigating common assumptions about disease transmission

Chris McCaig, M. Begon, R. Norman, C. Shankland

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Changing scale, for example, the ability to move seamlessly from an individual-based model to a population-based model, is an important problem in many fields. In this paper, we introduce process algebra as a novel solution to this problem in the context of models of infectious disease spread. Process algebra allows us to describe a system in terms of the stochastic behaviour of individuals, and is a technique from computer science. We review the use of process algebra in biological systems, and the variety of quantitative and qualitative analysis techniques available. The analysis illustrated here solves the changing scale problem: from the individual behaviour we can rigorously derive equations to describe the mean behaviour of the system at the level of the population. The biological problem investigated is the transmission of infection, and how this relates to individual interactions.
Original languageEnglish
Pages (from-to)19-29
Number of pages11
JournalTheory in Biosciences
Volume130
Issue number1
Publication statusPublished - Aug 2011

Keywords

  • rigorous approach
  • investigating common assumptions
  • disease transmission
  • epidemiology
  • process algebra
  • emerging modelling methodology

Fingerprint Dive into the research topics of 'A rigorous approach to investigating common assumptions about disease transmission'. Together they form a unique fingerprint.

Cite this