Computational discovery of effective hepatitis C intervention strategies

Information

  • Research Project
  • 10226066
  • ApplicationId
    10226066
  • Core Project Number
    R01GM121600
  • Full Project Number
    5R01GM121600-05
  • Serial Number
    121600
  • FOA Number
    PAR-15-048
  • Sub Project Id
  • Project Start Date
    8/15/2017 - 7 years ago
  • Project End Date
    7/31/2022 - 2 years ago
  • Program Officer Name
    RAVICHANDRAN, VEERASAMY
  • Budget Start Date
    8/1/2021 - 3 years ago
  • Budget End Date
    7/31/2022 - 2 years ago
  • Fiscal Year
    2021
  • Support Year
    05
  • Suffix
  • Award Notice Date
    8/9/2021 - 3 years ago

Computational discovery of effective hepatitis C intervention strategies

7. PROJECT SUMMARY/ABSTRACT Hepatitis C (HCV) is a leading cause of chronic liver disease and mortality worldwide. The World Health Organization (WHO) has recently recognized the need to prevent and control HCV infection, and proposed that HCV elimination is feasible by 2030 by reducing new chronic infections by 90% and HCV-related mortality by 65%. In the U.S., elimination strategies are urgently needed that focus on persons who inject drugs (PWID), the group at most risk for acquiring and transmitting HCV infection. Despite the long-term availability of harm reduction strategies such as syringe exchange programs (SEP), opioid substitution therapies (OSTs), and behavioral counseling, HCV incidence in the U.S. is on the rise among PWID. The recent availability of all oral direct-acting antivirals (DAAs) with high reported cure rates (e.g., >90%) that can prevent liver disease progression and HCV transmission, combined with prevention and harm reduction strategies, make HCV elimination an attainable goal. However, given considerable barriers (e.g., cost of DAAs, poor linkage to care and adherence, possible reinfection, PWID lifestyle), it is essential for policy development and strategic planning to understand the factors that would most effectively promote HCV elimination among PWID. Understanding the dynamic and complex interplay of factors at the individual (e.g., risk behaviors), social (e.g., injection networks), structural (e.g., access to syringe exchange programs and opioid substitution therapies), and geographic (e.g., non-urban residence) levels is essential to improve understanding and development of HCV elimination strategies. Current models cannot account for such dynamic and complex interactions. As such we propose to develop a comprehensive, data-driven agent-based model for Hepatitis C Elimination in PWID (HepCEP) using the Chicago PWID population as a template and proof of concept that would enable policy makers to identify the most effective intervention strategies for elimination of HCV by 2030 based on the aforementioned WHO's proposed reduction estimates. The long term significance of these efforts would be to adapt the HepCEP framework to (i) model HCV transmission in the general population of Chicago and in Illinois prisons, (ii) forecast the spread of HCV in other U.S. urban and non-urban PWID populations (e.g., Albuquerque, NM), (iii) perform cost-effectiveness analyses, and (iv) assist vaccine-trial sponsors in designing and evaluating clinical trials.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R01
  • Administering IC
    GM
  • Application Type
    5
  • Direct Cost Amount
    360000
  • Indirect Cost Amount
    38579
  • Total Cost
    398579
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
    SCHOOLS OF MEDICINE
  • Funding ICs
    NIGMS:398579\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    LOYOLA UNIVERSITY CHICAGO
  • Organization Department
    INTERNAL MEDICINE/MEDICINE
  • Organization DUNS
    791277940
  • Organization City
    MAYWOOD
  • Organization State
    IL
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    601533328
  • Organization District
    UNITED STATES