Classification and regression trees for predicting the risk of a negative test result for tuberculosis infection in Brazilian healthcare workers: a cross-sectional study

• Auteurs principaux: Fernanda Mattos Souza (Auteur), Thiago Nascimento do Prado (Auteur), Guilherme Loureiro Werneck (Auteur), Ronir Raggio Luiz (Auteur), Ethel Leonor Noia Maciel (Auteur), Eduardo Faerstein (Auteur), Anete Trajman (Auteur)
• Format: Livre
• Publié: Associação Brasileira de Pós-Graduação em Saúde Coletiva, 2021-06-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

ABSTRACT: Objectives: Healthcare workers (HCWs) have a high risk of acquiring tuberculosis infection (TBI). However, annual testing is resource-consuming. We aimed to develop a predictive model to identify HCWs best targeted for TBI screening. Methodology: We conducted a secondary analysis of previo...