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

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

Abstract 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...

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Bibliographic Details
Main Authors: Debebe Shaweno, James M. Trauer, Justin T. Denholm, Emma S. McBryde
Format: Article
Language:English
Published: BMC 2017-10-01
Series:BMC Infectious Diseases
Subjects:
Tuberculosis
Incidence
Spatial analysis
Binomial mixture models
Online Access:http://link.springer.com/article/10.1186/s12879-017-2759-0

Internet

http://link.springer.com/article/10.1186/s12879-017-2759-0

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