A decision tree for tuberculosis contact investigation.

  title={A decision tree for tuberculosis contact investigation.},
  author={Lynn B. Gerald and Shenghui W Tang and Frank Bruce and David Redden and Michael E. Kimerling and N. Brook and Nancy E. Dunlap and William C. Bailey},
  journal={American journal of respiratory and critical care medicine},
  volume={166 8},
The University of Alabama at Birmingham and the Alabama Department of Public Health recently developed a logistic regression model showing those variables that are most likely to predict a positive tuberculin skin test in contacts of tuberculosis cases. However, translating such a model into field application requires a stepwise approach. This article describes a decision tree developed to assist public health workers in determining which contacts are most likely to have a positive tuberculin… CONTINUE READING