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Dataset Information

Development of a Predictive Model of Tuberculosis Transmission among Household Contacts.


ABSTRACT:

Background

Household contacts of patients with tuberculosis (TB) are at great risk of TB infection. The aim of this study was to develop a predictive model of TB transmission among household contacts.

Method

This was a secondary analysis of data from a prospective cohort study, in which a total of 700 TB patients and 3417 household contacts were enrolled between 2010 and 2013 at two study sites in Peru. The incidence of secondary TB cases among household contacts of index cases was recorded. The LASSO regression method was used to reduce the data dimension and to filter variables. Multivariate logistic regression analysis was applied to develop the predictive model, and internal validation was performed. A nomogram was constructed to display the model, and the AUC was calcul

SUBMITTER: Wang S 

PROVIDER: S-EPMC6701319 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature