rss
J Epidemiol Community Health 65:87-94 doi:10.1136/jech.2009.097113
  • Glossary

The ABC of terms used in mathematical models of infectious diseases

  1. Marie-Claude Boily2,4
  1. 1Division of Infectious Diseases, St. Michael's Hospital, University of Toronto, Toronto, Canada
  2. 2School of Public Health, Imperial College, London, UK
  3. 3Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
  4. 4Unité de recherche en santé des populations de l'Université Laval Centre hospitalier affilié universitaire de Québec, Laval, Canada
  1. Correspondence to Dr Marie-Claude Boily, Division of Epidemiology, Public Health and Primary Care, Imperial College, G30 16 South Wharf Road, St Mary's Campus, London W2 1PG, UK; mc.boily{at}imperial.ac.uk
  • Accepted 12 July 2010
  • Published Online First 21 October 2010

Abstract

Mathematical models that incorporate a dynamic risk of infection figure prominently in the study of infectious diseases epidemiology as a tool to inform public health policy. In recent years, their use has expanded to address methodological questions, inform and validate study design and evaluate interventions. This glossary briefly highlights the applications of transmission dynamics modelling, explains different modelling methodologies and defines commonly encountered terms to provide an introductory and conceptual understanding of the vocabulary and frameworks used in the literature.

Footnotes

  • Funding SM is supported by the Canadian Institutes of Health Research and Public Health Agency of Canada Fellowship programme

  • Competing interests None declared.

  • Provenance and peer review Commissioned; externally peer reviewed.

Free sample

This recent issue is free to all users to allow everyone the opportunity to see the full scope and typical content of JECH.
View free sample issue >>

Don't forget to sign up for content alerts so you keep up to date with all the articles as they are published.

Navigate This Article