A novel Bayesian geospatial method for estimating tuberculosis incidence reveals many missed TB cases in Ethiopia

BACKGROUND: Reported tuberculosis (TB) incidence globally continues to be heavily influenced by expert opinion of case detection rates and ecological estimates of disease duration. Both approaches are recognised as having substantial variability and inaccuracy, leading to uncertainty in true TB inci...

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Detalles Bibliográficos
Autores principales: Shaweno, Debebe, Trauer, James M., Denholm, Justin T., McBryde, Emma S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5625624/
https://www.ncbi.nlm.nih.gov/pubmed/28969585
http://dx.doi.org/10.1186/s12879-017-2759-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5625624/
https://www.ncbi.nlm.nih.gov/pubmed/28969585
http://dx.doi.org/10.1186/s12879-017-2759-0

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