Impact of enhanced tuberculosis diagnosis in South Africa: A mathematical model of expanded culture and drug susceptibility testing

David W. Dowdy, Richard E. Chaisson, Gary Maartens, Elizabeth L. Corbett, Susan E. Dorman

Research output: Contribution to journalArticlepeer-review

82 Scopus citations

Abstract

South Africa has high rates of tuberculosis (TB), including multidrug-resistant (MDR) and extensively drug-resistant (XDR) strains. Expanding access to culture and drug susceptibility testing (DST) for TB diagnosis may help control this epidemic, but the potential impact of existing and novel TB diagnostics is uncertain. By fitting to World Health Organization epidemiological estimates, we developed a compartmental difference-equation model of the TB/HIV epidemic among South African adults. Performing culture and DST in 37% of new cases and 85% of previously treated cases was projected to save 47,955 lives (17.2% reduction in TB mortality, 95% simulation interval (S.I.) 8.9-24.4%), avert 7,721 MDR-TB cases (14.1% reduction, 95% S.I. 5.3-23.8%), and prevent 46.6% of MDR-TB deaths (95% S.I. 32.6-56.0%) in South Africa over 10 years. Used alone, expanded culture and DST did not reduce XDR-TB incidence, but they enhanced the impact of transmission-reduction strategies, such as respiratory isolation. In South Africa, expanding TB culture and DST could substantially reduce TB, and particularly MDR-TB, mortality. Control of XDR-TB will require additional interventions, the impact of which may be enhanced by improved TB diagnosis.

Original languageEnglish (US)
Pages (from-to)11293-11298
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume105
Issue number32
DOIs
StatePublished - Aug 12 2008

Keywords

  • Clinical laboratory techniques
  • Drug resistance
  • Theoretical models

ASJC Scopus subject areas

  • General

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