There are an estimated 130–150 million people living with chronic hepatitis C virus (HCV) infection worldwide. Traditional methods of incidence determination are complex and expensive, involving long-term, prospective follow-up of cohorts of HCV-negative persons. This editorial reviews the data of a multiassay algorithm for estimating the incidence of HCV infection; modeled after algorithms to determine HIV infection incidence from cross-sectional surveys. The authors present evidence that reinforces the need for improved HCV infection incidence estimates to assess progress made as increased investments are made in treatment and prevention programs.
Determining hepatitis C virus incidence in populations: An important tool of epidemic control (editorial)
Written By
Mastro TD, Morrison CS, Hamilton CD