
Automated HCV Surveillance Shows Promise But Needs Validation - The American Journal of Managed Care
SaTScan detects an acute HCV outbreak cluster in California, showing the potential of automated surveillance, though real-time testing is needed. SaTScan, a free spatiotemporal scanning tool, detected a cluster of acute hepatitis C virus (HCV) cases associated with a verified outbreak at a Los Angeles County pain clinic the day after the second outbreak-related case was reported, according to a proof-of-concept (POC) analysis recently published in JMIR Public Health and Surveillance.1 The findings suggest that automated cluster detection could help health departments identify outbreaks that traditional case investigation may miss. Challenges in HCV Outbreak Detection Prompt Automated Surveillance EvaluationBetween 55% and 85% of people with acute HCV infection do not clear the virus on their own, but early diagnosis and treatment can prevent progression to chronic HCV and its complications, including hepatocellular carcinoma. Outbreaks typically arise in settings with a high risk of percutaneous exposure, such as among people who inject drugs and in health care facilities.









