期刊
INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE
卷 18, 期 9, 页码 1012-1018出版社
INT UNION AGAINST TUBERCULOSIS LUNG DISEASE (I U A T L D)
DOI: 10.5588/ijtld.13.0851
关键词
tuberculosis; modelling; diagnostics
资金
- Bill and Melinda Gates Foundation
- Medical Research Council [MR/J005088/1] Funding Source: researchfish
- MRC [MR/J005088/1] Funding Source: UKRI
The landscape of diagnostic testing for tuberculosis (TB) is changing rapidly, and stakeholders need urgent guidance on how to develop, deploy and optimize TB diagnostics in a way that maximizes impact and makes best use of available resources. When decisions must be made with only incomplete or preliminary data available, modelling is a useful tool for providing such guidance. Following a meeting of modelers and other key stakeholders organized by the TB Modelling and Analysis Consortium, we propose a conceptual framework for positioning models of TB diagnostics. We use that framework to describe modelling priorities in four key areas: Xpert (R) MTB/RIF scale-up, target product profiles for novel assays, drug susceptibility testing to support new drug regimens, and the improvement of future TB diagnostic models. If we are to maximize the impact and cost-effectiveness of TB diagnostics, these modelling priorities should figure prominently as targets for future research.
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