Choosing algorithms for TB screening: a modelling study to compare yield, predictive value and diagnostic burden

BACKGROUND: To inform the choice of an appropriate screening and diagnostic algorithm for tuberculosis (TB) screening initiatives in different epidemiological settings, we compare algorithms composed of currently available methods. METHODS: Of twelve algorithms composed of screening for symptoms (pr...

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Detalles Bibliográficos
Autores principales: van’t Hoog, Anna H, Onozaki, Ikushi, Lonnroth, Knut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287425/
https://www.ncbi.nlm.nih.gov/pubmed/25326816
http://dx.doi.org/10.1186/1471-2334-14-532

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287425/
https://www.ncbi.nlm.nih.gov/pubmed/25326816
http://dx.doi.org/10.1186/1471-2334-14-532

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