Mathematical modelling of the epidemiology of tuberculosis

Peter White, Geoff P. Garnett

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

15 Citations (Scopus)

Abstract

Despite the infectious agent that causes tuberculosis having been discovered in 1882, many aspects of the natural history and transmission dynamics of TB are still not fully understood. This is reflected in differences in the structures of mathematical models of TB, which in turn produce differences in the predicted impacts of interventions. Gaining a greater understanding of TB transmission dynamics requires further empirical laboratory and field work, mathematical modelling and interaction between them. Modelling can be used to quantify uncertainty due to different gaps in our knowledge to help identify research priorities. Fortunately, the present moment is an exciting time for TB epidemiology, with rapid progress being made in applying new mathematical modelling techniques, new tools for TB diagnosis and genetic analysis and a growing interest in developing more-effective public-health interventions.

Original languageEnglish
Title of host publicationModelling Parasite Transmission and Control
EditorsEdwin Michael, Robert Spear
Pages127-140
Number of pages14
DOIs
Publication statusPublished - 2010

Publication series

NameAdvances in Experimental Medicine and Biology
Volume673
ISSN (Print)0065-2598

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