• The Impact of Primary Health Care on Tuberculosis Incidence, Cure Rate and Mortality: an Integrated Retrospective and Forecasting Study Based on a Cohort of 100 Million Brazilians (Davide Rasella ,Instituto de Saúde Coletiva, Federal University of Bahia, Brazil)
  • Increasing access to a TB diagnosis in children: modelling the impact of bringing diagnostics to the primary health care level (Edine Tiemersma, KNCV Tuberculosis Foundation)
  • Risk-benefit modelling of preventive therapy strategies to inform household contact management policies in high-burden countries (Courtney Yuen, Brigham and Women’s  Hospital and TB Program at Indus Hospital Pakistan) ppt1, ppt2
  • Parameterising the kinetics of early disease in tuberculosis (Hanif Esmail, University of Cape Town) ppt1,ppt2,ppt3
  • Applying modelling to inform optimal case finding for TB (Maxine Caws, Liverpool School of Tropical Medicine) ppt
  • Modelling the epidemiological impact and cost-effectiveness of Active Case Finding under the TB Free Chennai Initiative (Nim Pathy, Imperial College London) ppt
  • The feasibility of CRP as TB triage test for identifying individuals who require confirmatory testing for pulmonary TB (Anja van‘t Hoog, Amsterdam Institute for Global Health and Development)
  • Modelling to support the scale-up of TB case detection within countries (Josh Salomon, Harvard University)
  • Modelling to Understand the Epidemiological Impact and Market Impact of Harmonized Regimens for MDR-TB (Lisa Smith, William Davidson Institute)
  • Mathematical models to improve drug dosing for limiting persistence in M. tuberculosis  (Pia Schulz zur Wiesch, Harvard University)
  • Exploring the impact of active case finding (Nick Menzies, Harvard University)
  • Treatment for latent tuberculosis infection: in what settings is the greatest impact on the burden of active TB seen? (Romain Ragonnet, University of Melbourne)
  • Mathematical modelling for TB burden estimation (Pete Dodd, University of Sheffield)
  • Modelling multidrug-resistant fitness cost and genotypic heterogeneity to accurately define tuberculosis program treatment targets (Gwen Knight, Imperial College London)
  • Informing decision making for universal access to quality tuberculosis care in India – an operational epidemic / economic modelling framework (David Dowdy, Johns Hopkins University)
  • Social Protection to enhance the control of TB – Modelling Consortium (S-PROTECT) (Delia Boccia, London School of Hygiene and Tropical Medicine)
  • Assessing the impact of poverty and DOTS programme coverage on tuberculosis epidemiology in Yunnan, China for integration into a modelling framework (Richard Coker, London School of Hygiene and Tropical Medicine)