This presentation will explore the impact and cost-effectiveness of simplified hepatitis C virus (HCV) diagnosis using a modelling approach. We developed a flexible mathematical model that can be applied in various contexts to evaluate different testing strategies, both standalone and integrated with simplified service delivery. The results aim to guide decision-makers in shaping effective HCV prevention policies and achieving elimination targets.
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Joyce Huei-Jiuan Wu Joyce is a Scientia PhD student at the Kirby Institute. Her research focuses on the prevention of HIV/AIDS, hepatitis C, and other infectious diseases using mathematical modeling. Her work aims to inform policymaking and support HCV elimination efforts by integrating innovative testing strategies with person-centered services |
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