Translate
Hepatitis C data dashboards
Short URL: kingcounty.gov/hcv/data
These two data dashboards summarize trends in Hepatitis C (HCV) diagnosis and cures in King County based on laboratory test results and cases reported directly to PHSKC. The Diagnoses and Cures tabs display the last 5 years of data through the most recent quarter of the current year.
Confirmed Hep C diagnosis is defined as an individual with a positive HCV antibody test result and an HCV confirmatory RNA test result, or positive HCV viral load test result, or determined genotype test result.
Presumed Hep C cure is defined as an individual with an initial detectable HCV RNA test result who have a subsequent undetectable HCV RNA test result reported.
Technical notes
Data sources
Hepatitis C Surveillance data: Reported hepatitis C laboratory test results and patient care report forms to Public Health – Seattle & King County (PHSKC). For more information, refer to the annual report: 2023 Hepatitis C Epidemiology Report (7.1 MB).
Measures of Hep C infection and cure:
- Counts of people with Hep C cases: New diagnoses of Hepatitis C infection adhere to WA State Dept. of Health case definition
- Counts of people cured of Hep C: Individuals progressing through the continuum who drop out between steps 3 and 4 have a reported HCV RNA undetectable/negative test result 180 or more days after their last reported detectable HCV RNA test result and are presumed cured of HCV infection.
- Cure rate: defined as the cumulative percent of individuals diagnosed with hep C since 1989 with evidence of treatment for, or clearance of, hepatitis C infection, per year. The definition of viral clearance or treatment is a subsequent report of negative HCV RNA test results, following a prior reported positive HCV RNA test result.
- Rates: Rates represent the number of hep C cases diagnosed in a specified population over a specified time period. Rates facilitate compari sons across sub-groups and over time by accounting for varying population sizes between groups and over time.
- Data suppression: Any counts 9 or smaller are suppressed to protect confidentiality and/or report reliable rates.
- Confidence Interval (95% CI): is the probability that after accounting for random variation for counts, the reported count, or estimated rate will be within the interval 95% of the time. For count data, the confidence interval is calculated using the Poisson formula for counts and for rates it is calculated using normal approximation to the Poisson distribution. When comparing rates or counts, if the two confidence intervals do not overlap, the difference between the rates or counts is statistically significant.