A Novel Clinical Nomogram for Predicting Unfavorable Tuberculosis Treatment Outcomes: A Logistic Regression Risk Model

Abstract Introduction Communicable diseases remain one of the major public health challenges in Sub-Saharan Africa, with tuberculosis (TB) ranking among the leading causes of morbidity, mortality, and significant economic impact. Mozambique is among the countries with the highest TB burden in the re...

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Principais autores:	Sancho Pedro Xavier, Gelcídio Alfredo Pereira Rafael, Ana Raquel Manuel Ernesto Gotine, Mateus António Agostinho, Graciano Cumaquela, Zito António Joaquim Rocha, Audêncio Victor
Format:	Artigo
Jezik:	Inglês
Izdano:	Springer 2026-03-01
Serija:	Journal of Epidemiology and Global Health
Teme:	Tuberculosis Treatment outcomes Unfavorable outcome Nomogram Predictive model Mozambique
Online dostop:	https://doi.org/10.1007/s44197-026-00532-z
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