Investigating the impact of TB case-detection strategies and the consequences of false positive diagnosis through mathematical modelling
Abstract
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-specificity diagnostic algorithms, these strategies can lead to an increasingly high number of false positive diagnoses, which has important adverse consequences. We...
Paper Details
Title
Investigating the impact of TB case-detection strategies and the consequences of false positive diagnosis through mathematical modelling
Published Date
Jul 21, 2018
Journal
Volume
18
Issue
1
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