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Geographic variation in HCV treatment penetration among people who inject drugs in Baltimore,MD
Authors:Catelyn R. Coyle  Michael R. Desjardins  Frank C. Curriero  Jacqueline Rudolph  Jacquie Astemborski  Oluwaseun Falade-Nwulia  Gregory D. Kirk  David L. Thomas  Shruti H. Mehta  Becky L. Genberg
Affiliation:1. Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA

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

Merck & Co. Inc., Rahway, New Jersey, USA;2. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA

Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA;3. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA

Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA;4. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA;5. Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA;6. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA

Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

Abstract:We evaluated geographic heterogeneity in hepatitis C virus (HCV) treatment penetration among people who inject drug (PWID) across Baltimore, MD since the advent of direct-acting antivirals (DAAs) using space–time clusters of HCV viraemia. Using data from a community-based cohort of PWID, the AIDS Linked to the IntraVenous Experience (ALIVE) study, we identified space–time clusters with higher-than-expected rates of HCV viraemia between 2015 and 2019 using scan statistics. We used Poisson regression to identify covariates associated with HCV viraemia and used the regression-fitted values to detect adjusted space–time clusters of HCV viraemia in Baltimore city. Overall, in the cohort, HCV viraemia fell from 77% in 2015 to 64%, 49%, 39% and 36% from 2016 to 2019. In Baltimore city, the percentage of census tracts where prevalence of HCV viraemia was ≥85% dropped from 57% to 34%, 25%, 22% and 10% from 2015 to 2019. We identified two clusters of higher-than-expected HCV viraemia in the unadjusted analysis that lasted from 2015 to 2017 in East and West Baltimore and one adjusted cluster of HCV viraemia in West Baltimore from 2015 to 2016. Neither differences in age, sex, race, HIV status, nor neighbourhood deprivation were able to explain the significant space–time clusters. However, residing in a cluster with higher-than-expected viraemia was associated with age, sex, educational attainment and higher levels of neighbourhood deprivation. Nearly 4 years after DAAs became available, HCV treatment has penetrated all PWID communities across Baltimore city. While nearly all census tracts experienced improvements, change was more gradual in areas with higher levels of poverty.
Keywords:Baltimore  direct-acting antivirals  geospatial clustering  hepatitis C virus  people who inject drugs
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