<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><submitter/><funding>Italian Complementary National Plan PNC-I.1 "Research initiatives for innovative technologies and pathways in the health and welfare sector” D.D. 931 of 06/06/2022, "DARE - DigitAl lifelong pRevEntion" initiative.</funding><species>Homo sapiens (human)</species><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-BSST1682</full_dataset_link><repository>biostudies-other</repository><funding_grant_id>Code PNC0000002.</funding_grant_id></additional><is_claimable>false</is_claimable><name>Implementing an interoperable web-based platform to support health surveillance against latent tuberculosis infection in health care workers and students to define prevention strategies and interventions: the evolution of CROSSWORD Study</name><description>Tuberculosis (TB) prevention is a major goal in teaching hospital setting. Because of the possible progression or reactivation of latent disease, the screening of both health-care workers (HCWs) and students is a critical issue in the TB control program. Objective: to deploy a web-based platform interoperating health surveillance systems from different hospitals to define models based on the highlighted risk factors to predict the occurrence of Latent Tuberculosis Infection (LTBI) and to define prevention strategies and interventions. Methods: This is a cross-sectional ambispective observational study without drug and device. The primary endpoint is the prevalence of LTBI. The secondary endpoint is the identification of possible risk factors of LTBI in a large cohort of HCWs and students. </description><dates><release>2024-10-18T00:00:00Z</release><modification>2024-10-19T15:07:15.834Z</modification><creation>2024-10-14T00:26:40.691Z</creation></dates><accession>S-BSST1682</accession><cross_references/></HashMap>