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Active Case-Finding: An Effective Solution for Tuberculosis Detection in Vulnerable Groups – The Romanian Experience
- Publication Year :
- 2024
-
Abstract
- Beatrice Mahler,1â 3 DragoÈ Băiceanu,3,4 Alexandru StoichiÈă,1â 3 DragoÈ Dendrino,3 Mihaela Mihai,3,5 Gina Ciolan,2 Elmira Ibraim,3,4 Ioana Munteanu,2,3,6 Cristina Popa,2,3 Mădălina Burecu,2,3 Paula Rusu,3 Andreea Cioacată,2 Ioana Mădălina MoÈteanu,2,7 Antonela Dragomir1â 3 1Pneumology II Department, Faculty of Medicine, âCarol Davilaâ University of Medicine and Pharmacy, Bucharest, Romania; 2Pneumology Clinic, âMarius Nastaâ Institute of Pneumology, Bucharest, Romania; 3Tuberculosis Screening Program, âMarius Nastaâ Institute of Pneumology, Bucharest, Romania; 4Research Department, âMarius Nastaâ Institute of Pneumology, Bucharest, Romania; 5Faculty of Economic Cybernetics, Statistics and Informatics, The Bucharest University of Economic Studies, Bucharest, Romania; 6Faculty of Medicine, âTitu Maiorescuâ University, Bucharest, Romania; 7Faculty of Medicine, University of Medicine and Pharmacy Craiova, Craiova, RomaniaCorrespondence: DragoÈ Băiceanu; Alexandru StoichiÈă, âMarius Nastaâ Institute of Pneumology, 90 Viilor Street, Bucharest, 050159, Romania, Tel +4 0749 574 412, Email dragos.baiceanu@marius-nasta.ro; alexandru.stoichita@drd.umfcd.roIntroduction: Tuberculosis (TB) remains a global health challenge, requiring enhanced active case finding (ACF) through screening strategies. This study assesses the effectiveness of such an approach in locating TB cases among vulnerable groups, such as homeless persons, injecting drug users, those detained in prison, and people living in rural areas.Methods: The study focuses on socio-economic characteristics and TB detection rates across Romanian counties using modern techniques including computer-aided detection of lesions on chest X-ray and GeneXpert tests.Results: The results highlight the disproportionate burden of TB in vulnerable groups, by revealing significant differences in TB dete
Details
- Database :
- OAIster
- Notes :
- text/html, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1434005200
- Document Type :
- Electronic Resource