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National Active Case-Finding Program for Tuberculosis in Prisons, Peru, 2024
Esther Jung
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, Valentina A. Alarcón, Wilfredo Santos Solís Tupes, Tatiana Avalos-Cruz, Marco Tovar, Erika Abregu, Max Z. Yang, Jason R. Andrews
1, and Moises A. Huaman
1
Author affiliation: Stanford University School of Medicine, Stanford, California, USA (E. Jung, M.Z. Yang, J.R. Andrews); Dirección de Prevención y Control de Tuberculosis (DPCTB), Ministerio de Salud, Lima, Peru (V.A. Alarcón, W.S. Solís Tupes, T. Avalos-Cruz, E. Abregu); Instituto de Investigación Nutricional, Lima (M. Tovar); Escuela de Medicina, Universidad Peruana de Ciencias Aplicadas, Lima (M. Tovar); University of Cincinnati College of Medicine, Cincinnati, Ohio, USA (M.A. Huaman)
Main Article
Figure 2

Figure 2. Flowchart for TB screening in a national active case-finding program for tuberculosis in prisons, Peru, 2024. The algorithm shows screening among included participants across 18 study prisons. TB cases were defined as any positive or trace result via Xpert MTB/RIF Ultra (Cepheid, https://www.cepheid). CAD4TB, Computer-Aided Detection for Tuberculosis version 7.0 (Delft Imaging Systems, https://delft.care); MTB, Mycobacterium tuberculosis; TB, tuberculosis; Xpert, Xpert MTB/RIF Ultra (Cepheid, https://www.cepheid).
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