Exploring the Hepatitis-C Cascade of Care through Integrated Data Analysis and Simulation

Ozgur Ozmen1, Mallikarjun Shankar1, Gilbert Weigand1, Kristina Thiagarajan1, Nawar Shara2, Randy Estes2, Emanuel Villa Baca3, Alexander Geboy2, Hala Deeb2, Mamta Jain4, Lesley Miller5, Coleman Smith6, Kelly Smith2, Ian Brooks3, Dawn Fishbein2

  • 1Oak Ridge National Laboratory
  • 2Medstar Health Research Institute
  • 3University of Tennessee Health Science Center
  • 4University of Texas Southwestern Medical Center
  • 5Emory University
  • 6Georgetown University

Details

12:00 - 14:00 | Thu 10 Nov | Maya Ballroom Foyer | ThPO.40

Session: HI-POCT Poster Session and POC Technologies Demonstrations

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Abstract

We present a new methodology that uses integrated data-analytics, modeling, and simulation (IDAMS) along with domain expertise to study the Hepatitis-C Viral (HCV) cascade of care (CoC). Specifically, we reify important processes and structures underpinning the cascade, identify essential determinants of the cascade (e.g., dropout rates of patients with certain disease and demographic characteristics) leading to an improved model of the CoC. We expect our approach to result in a systematic way to explore interventions at different points of care that can help retain patients in the cascade and thus improve cure rates.