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Using data from a community\u2010based cohort of PWID, the AIDS Linked to the IntraVenous Experience (ALIVE) study, we identified space\u2013time clusters with higher\u2010than\u2010expected 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\u2010fitted values to detect adjusted space\u2013time 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 \u226585% dropped from 57% to 34%, 25%, 22% and 10% from 2015 to 2019. We identified two clusters of higher\u2010than\u2010expected 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\u2013time clusters. However, residing in a cluster with higher\u2010than\u2010expected viraemia was associated with age, sex, educational attainment and higher levels of neighbourhood deprivation. Nearly 4\u2009years 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.<\/jats:p>","DOI":"10.1111\/jvh.13864","type":"journal-article","created":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T09:00:21Z","timestamp":1688029221000},"page":"810-818","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Geographic variation in <scp>HCV<\/scp> treatment penetration among people who inject drugs in Baltimore, <scp>MD<\/scp>"],"prefix":"10.1111","volume":"30","author":[{"given":"Catelyn R.","family":"Coyle","sequence":"first","affiliation":[{"name":"Department of Mental Health Johns Hopkins Bloomberg School of Public Health  Baltimore Maryland USA"},{"name":"Department of Epidemiology Johns Hopkins Bloomberg School of Public Health  Baltimore Maryland USA"},{"name":"Merck &amp; Co. Inc.  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