[The incidence discriminant model for close contacts of active tuberculosis patients].

Objective: To establish a discriminant model and to provide a relatively accurate scientific basis for the early diagnosis of tuberculosis (TB) and detection of the close contacts.

Methods: Through logistic regression analysis, key factors were selected according to Bayes theory and key factors of TB incidence of the close contacts were screened as well as a discriminant model was established.

Results: The non-TB incidence discriminant function of the close contacts was described as: Y1= -39.