Investigating the impact of TB case-detection strategies and the consequences of false positive diagnosis through mathematical modelling

Investigating the impact of TB case-detection strategies and the consequences of false positive diagnosis through mathematical modelling

Abstract Background Increasing case notifications is one of the top programmatic priorities of National TB Control Programmes (NTPs). To find more cases, NTPs often need to consider expanding TB case-detection activities to populations with increasingly low prevalence of disease. Together with low-s...

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Bibliographic Details
Main Authors: Marek Lalli, Matthew Hamilton, Carel Pretorius, Debora Pedrazzoli, Richard G. White, Rein M. G. J. Houben
Format: Article
Language:English
Published: BMC 2018-07-01
Series:BMC Infectious Diseases
Subjects:
Tuberculosis
Screening
False positive diagnosis
Mathematical modelling
Online Access:http://link.springer.com/article/10.1186/s12879-018-3239-x

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