Potential impact of curative and preventive interventions toward hepatitis C elimination in people who inject drugs–A network modeling study

Lin Zhu, William W. Thompson, Liesl Hagan, Liisa M. Randall, Abby E. Rudolph, April M. Young, Jennifer R. Havens, Joshua A. Salomon, Benjamin P. Linas

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Injection-equipment-sharing networks play an important role in hepatitis C virus (HCV) transmission among people who inject drugs (PWID). Direct-acting antiviral (DAA) treatments for HCV infection and interventions to prevent HCV transmission are critical components of an overall hepatitis C elimination strategy, but how they contribute to the elimination outcomes in different PWID network settings are unclear. Methods: We developed an agent-based network model of HCV transmission through the sharing of injection equipment among PWID and parameterized and calibrated the model with rural PWID data in the United States. We modeled curative and preventive interventions at annual coverage levels of 12.5 %, 25 %, or 37.5 % (cumulative percentage of eligible individuals engaged), and two allocation approaches: random vs targeting PWID with more injection partners (hereafter ‘degree-based’). We compared the impact of these intervention strategies on prevalence and incidence of HCV infections. We conducted sensitivity analysis on key parameters governing the effects of curative and preventive interventions and PWID network characteristics. Results: Combining curative and preventive interventions at 37.5 % annual coverage with degree-based allocation decreased prevalence and incidence of HCV infection by 67 % and 70 % over two years, respectively. Curative interventions decreased prevalence by six to 12 times more than preventive interventions, while curative and preventive interventions had comparable effectiveness on reducing incidence. Intervention impact increased with coverage almost linearly across all intervention strategies, and degree-based allocation was always more effective than random allocation, especially for preventive interventions. Results were sensitive to parameter values defining intervention effects and network mean degree. Conclusion: DAA treatments are effective in reducing both prevalence and incidence of HCV infection in PWID, but preventive interventions play a significant role in reducing incidence when intervention coverage is low. Increasing coverage, including efforts in reaching individuals with the most injection partners, preventing reinfection, and improving compliance and retention in preventive services can substantially improve the outcomes. PWID network characteristics should be considered when designing hepatitis C elimination programs.

Original languageEnglish
Article number104539
JournalInternational Journal of Drug Policy
Volume130
DOIs
StatePublished - Aug 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s)

Funding

This work was supported by the U.S. Centers for Disease Control and Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention Epidemiologic and Economic Modeling Agreement [U38PS004644, NU38PS004651 to LZ, JS, BL], National Institute on Drug Abuse [R01DA033862, R01DA024598 to AR, AY, JH, R37DA015612 to LZ, JS, K99DA056297 to LZ], and institutional funding for staff at the Massachusetts Department of Public Health [to LR].

FundersFunder number
National Institute on Drug AbuseR01DA033862, R01DA024598, R37DA015612, K99DA056297
National Institute on Drug Abuse

    Keywords

    • Direct-acting antiviral treatment
    • Harm reduction
    • Hepatitis C
    • People who inject drugs
    • Simulation model
    • Social network

    ASJC Scopus subject areas

    • Medicine (miscellaneous)
    • Health Policy

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