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Volume 9, Number 2—February 2003

Research

Annual Mycobacterium tuberculosis Infection Risk and Interpretation of Clustering Statistics

Emilia Vynnycky*Comments to Author , Martien W. Borgdorff†, Dick van Soolingen‡, and Paul E.M. Fine*
Author affiliations: *London School of Hygiene & Tropical Medicine, London, England; †Royal Netherlands Tuberculosis Association, The Hague, the Netherlands; ‡National Institute of Public Health and the Environment, Bilthoven, the Netherlands

Main Article

Figure 6

Summary of model predictions of the A) positive predictive values of clustering (proportion of cases who are in a cluster who have been infected or reinfected <5 years before onset) and B) negative predictive values of clustering (proportion of cases who are not in a cluster who are experiencing disease as a result of infection or reinfection acquired > 5 years before onset) in different age groups in the Netherlands and in settings in which the annual risk for infection has remained uncha

Figure 6. Summary of model predictions of the A) positive predictive values of clustering (proportion of cases who are in a cluster who have been infected or reinfected <5 years before onset) and B) negative predictive values of clustering (proportion of cases who are not in a cluster who are experiencing disease as a result of infection or reinfection acquired > 5 years before onset) in different age groups in the Netherlands and in settings in which the annual risk for infection has remained unchanged over time at 0.1%, 1%, and 3%.

Main Article

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