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Network-based strategies to combat HCV: Examining social and spatial drivers of transmission among PWID in New Delhi.

作者信息

Clipman Steven J, Mehta Shruti H, Mohapatra Shobha, Srikrishnan Aylur K, Zook Katie J C, Kumar Muniratnam Suresh, Lucas Gregory M, Latkin Carl A, Solomon Sunil S

机构信息

Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

出版信息

J Viral Hepat. 2024 Sep;31(9):535-543. doi: 10.1111/jvh.13960. Epub 2024 Jun 4.


DOI:10.1111/jvh.13960
PMID:38837275
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11480898/
Abstract

People who inject drugs (PWID) account for some of the fastest-growing HCV epidemics globally. While individual risk factors for infection are understood, less is known about network and spatial factors critical for elimination strategies. Two thousand five hundred twelve PWID in New Delhi, India, were recruited (2017-19) through network referrals. Biometrics identified duplicates and cross-network linkages. Participants completed semi-annual surveys and blood tests for HCV antibodies and RNA. Poisson regression and network analyses identified predictors of incident HCV and compared network-based intervention approaches. Baseline HCV antibody prevalence was 65.1%, of whom 79.6% were HCV RNA-positive. We observed 92 HCV seroconversions over 382.25 person-years (incidence: 24.1 per 100 person-years). Of the 92 seroconverters, 67% (62) were directly connected to an RNA-positive participant, and all were within one degree of separation from an RNA-positive participant. Individual-level factors associated with seroconversion included age, sexual activity, and injection behaviours. After adjusting for individual-level factors, seroconversion was significantly associated with number of RNA-positive partners (adjusted incidence rate ratio [AIRR] = 1.30) and injecting at a particular venue (AIRR = 2.53). This association extended to indirect ties, with 17% reduced odds of seroconversion for each degree of separation from the venue (AIRR = 0.83). Network analyses comparing intervention strategies found that targeting venues identified more cases compared to a treat-a-friend approach. We observed a fast-growing HCV epidemic driven by viremia within individuals' immediate networks and indirect social and spatial ties, demonstrating the importance of achieving broad, sustained virologic response and rethinking network-based interventions to include venues.

摘要

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引用本文的文献

[1]
Leveraging Injection Networks to Prevent HIV and Other Blood Borne Infections Among People Who Inject Drugs in Kenya: Design and Rationale.

Res Sq. 2025-8-20

[2]
Social support and HIV management among people who inject drugs: in-depth interviews in Delhi, India.

Harm Reduct J. 2025-3-14

[3]
Designing community-based strategies to reach non-household contacts of people with tuberculosis in Lusaka, Zambia: a rapid qualitative study among key stakeholders.

Front Public Health. 2025-1-13

本文引用的文献

[1]
Integration of a geospatially targeted community-based testing approach with respondent-driven sampling to identify people who inject drugs living with HIV and HCV in Patti and Gorakhpur, India.

Drug Alcohol Depend. 2023-6-1

[2]
Deep learning and social network analysis elucidate drivers of HIV transmission in a high-incidence cohort of people who inject drugs.

Sci Adv. 2022-10-21

[3]
Global change in hepatitis C virus prevalence and cascade of care between 2015 and 2020: a modelling study.

Lancet Gastroenterol Hepatol. 2022-5

[4]
Projected Long-Term Impact of the Coronavirus Disease 2019 (COVID-19) Pandemic on Hepatitis C Outcomes in the United States: A Modeling Study.

Clin Infect Dis. 2022-8-24

[5]
Impact of the COVID-19 pandemic on hepatitis C diagnosis in Brazil: Is the global hepatitis C elimination strategy at risk?

J Hepatol. 2022-2

[6]
Role of direct and indirect social and spatial ties in the diffusion of HIV and HCV among people who inject drugs: a cross-sectional community-based network analysis in New Delhi, India.

Elife. 2021-8-3

[7]
Injecting network structure determines the most efficient strategy to achieve Hepatitis C elimination in people who inject drugs.

J Viral Hepat. 2021-9

[8]
Spatiotemporal Phylodynamics of Hepatitis C Among People Who Inject Drugs in India.

Hepatology. 2021-10

[9]
Impact of COVID-19 on global HCV elimination efforts.

J Hepatol. 2020-8-7

[10]
HIV control programs reduce HIV incidence but not HCV incidence among people who inject drugs in HaiPhong, Vietnam.

Sci Rep. 2020-4-24

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