Estimation of Hepatitis C Disease Burden and Budget Impact of Treatment Using Health Economic Modeling

Chhatwal, Jagpreet ; Chen, Qiushi ; Aggarwal, Rakesh (2018) Estimation of Hepatitis C Disease Burden and Budget Impact of Treatment Using Health Economic Modeling Infectious Disease Clinics of North America, 32 (2). pp. 461-480. ISSN 08915520

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Official URL: http://doi.org/10.1016/j.idc.2018.02.008

Related URL: http://dx.doi.org/10.1016/j.idc.2018.02.008

Abstract

Oral direct-acting antiviral agents have revolutionized treatment of hepatitis C virus (HCV) infection. Nonetheless, barriers exist to elimination of HCV as a public health threat including low uptake of treatment, limited budget allocations for HCV treatment, and low awareness rates of HCV status among infected people. Mathematical modeling provides a systematic framework to analyze and compare potential solutions and elimination strategies by simulating the HCV epidemic under different conditions. Such models evaluate impact of interventions in advance of implementation. This article describes key components of developing an HCV burden model and illustrates its use by simulating the HCV epidemic in the United States.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Inc.
Keywords:Cost-effectiveness; Direct-acting antivirals; Health economics; Hepatitis C elimination; Markov modeling; Public health; Simulation
ID Code:129578
Deposited On:23 Nov 2022 11:06
Last Modified:23 Nov 2022 11:06

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