There is an urgent need to combine robust scientific evidence and leadership to identify cost-effective strategies (actions) to accelerate progress to End the Emergency. Mathematical modelling is a critical tool to create evidence on the potential health impacts, cost-effectiveness and resource implications of future TB care and prevention options. In this session, we present new results on four key modelling initiatives supporting acceleration towards Ending The Emergency, and a policy maker’s perspective on the advantages and disadvantages of modelling for country and global level TB decision making
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