1. Modeling the impact of the COVID-19 pandemic on achieving HCV elimination amongst young and unstably housed people who inject drugs in San Francisco
- Author
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Fraser, Hannah, Stone, Jack, Facente, Shelley N, Artenie, Adelina, Patel, Sheena, Wilson, Erin C, McFarland, Willi, Page, Kimberly, Vickerman, Peter, and Morris, Meghan D
- Subjects
Policy and Administration ,Public Health ,Health Sciences ,Human Society ,Behavioral and Social Science ,Coronaviruses Disparities and At-Risk Populations ,Digestive Diseases ,Coronaviruses ,Hepatitis - C ,Emerging Infectious Diseases ,Clinical Research ,Hepatitis ,Social Determinants of Health ,Chronic Liver Disease and Cirrhosis ,Drug Abuse (NIDA only) ,Opioids ,Opioid Misuse and Addiction ,Substance Misuse ,Liver Disease ,Infectious Diseases ,Infection ,Good Health and Well Being ,Epidemic modeling ,Hepatitis C virus elimination ,People who inject drugs ,Unstably housed PWID ,Young adult people who inject drugs ,Medical and Health Sciences ,Studies in Human Society ,Psychology and Cognitive Sciences ,Substance Abuse ,Public health ,Policy and administration - Abstract
BackgroundYoung 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.MethodsWe 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.ResultsContinuing 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%.ConclusionThe 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.
- Published
- 2024