Modeling the impact of the COVID-19 pandemic on achieving HCV elimination amongst young and unstably housed people who inject drugs in San Francisco

被引:0
作者
Fraser, Hannah [1 ]
Stone, Jack [1 ]
Facente, Shelley N. [2 ,3 ]
Artenie, Adelina [1 ]
Patel, Sheena [4 ]
Wilson, Erin C. [5 ]
McFarland, Willi [4 ,5 ]
Page, Kimberly [6 ]
Vickerman, Peter [1 ]
Morris, Meghan D. [4 ]
机构
[1] Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, England
[2] Univ Calif Berkeley, Sch Publ Hlth, Div Epidemiol & Biostat, Berkeley, CA 94720 USA
[3] Facente Consulting, Richmond, CA USA
[4] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA USA
[5] San Francisco Dept Publ Hlth, San Francisco, CA USA
[6] Univ New Mexico, Dept Internal Med, Div Epidemiol, Albuquerque, NM USA
基金
英国惠康基金;
关键词
People who inject drugs (PWID); Young adult people who inject drugs; Unstably housed PWID; Hepatitis C virus elimination; Epidemic modeling; HEPATITIS-C VIRUS; UNITED-STATES; USERS; INFECTION; CLEARANCE; SEX; EPIDEMIC; CARE;
D O I
10.1016/j.drugpo.2024.104452
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
Background: Young adult (18-30 years) people who inject drugs (PWID) face high hepatitis C virus (HCV) prevalence. In San Francisco, where >60% of PWID lack stable housing, barriers hinder HCV treatment access. We assessed progress towards the World Health Organization's (WHO) HCV elimination goal of an 80% reduction in incidence over 2015-2030, focusing on young (YPWID) and unstably housed PWID in San Francisco. Methods: We developed a dynamic HCV transmission model among PWID, parameterized and calibrated using bio-behavioural survey datasets from San Francisco. This included 2018 estimates for the antibody-prevalence among PWID (77%) and care cascade estimates for HCV for YPWID (72% aware of their status and 33% ever initiating treatment). Based on programmatic data, we assumed a 53.8% reduction in testing and 40.7% decrease in treatment from 2020 due to the COVID-19 pandemic, which partially rebounded from April 2021 with testing rates then being 31.1% lower than pre-pandemic rates and treatment numbers being 19.5% lower. We simulated different scenarios of how services changed after the pandemic to project whether elimination goals would be met. Results: Continuing post-pandemic rates of testing and treatment, the model projects an 83.3% (95% credibility interval [95% CrI]:60.6-96.9%) decrease in incidence among PWID over 2015-2030 to 1.5/100pyrs (95% CrI:0.3-4.4) in 2030. The probability of achieving the elimination goal by 2030 is 62.0%. Among YPWID and unstably housed PWID, the probability of achieving the elimination goal by 2030 is 54.8 and 67.6%, respectively. Importantly, further increasing testing and treatment rates to pre-pandemic levels by 2025 only results in a small increase in the probability (67.5%) of the elimination goal being achieved among all PWID by 2030, while increased coverage of medication for opioid use disorder among YPWID and/or housing interventions results in the probability of achieving elimination increasing to over 75%. Conclusion: The COVID-19 pandemic impeded progress toward achieving HCV elimination. Our findings indicate that existing partial rebounds in HCV testing and treatment may achieve the elimination goal by 2030, with an additional scale-up of interventions aimed at YPWID or unstably housed PWID ensuring San Francisco is likely to achieve elimination by 2030.
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页数:13
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