The Modeling (Economic Analysis & Transmission) Core represented by Drs. Anna Vassall (London School of Hygiene & Tropical Medicine), Ted Cohen (Yale School of Public Health), Nick Menzies (Harvard School of Public Health) use a range of approaches to explore the potential impact of new tests and strategies on health outcomes, costs, and value, and identify drivers of impact; provide support for analysis of novel assays in situations in which the reference standard is imperfect (e.g. latent class analyses applied to studies of test accuracy for pediatric TB detection), and explore and identify optimal approaches for using multiple tests in combination to address limitations in TB diagnosis.

The FEND Modeling Core bridges the gap between clinical science and policy by examining the potential impact of novel diagnostics on the TB care cascade, long-term outcomes, and cost-effectiveness.