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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Applying a system approach to forecast the total hepatitis C virus-infected population size: model validation using US data
Liver International, Volume 31, No. SUPPL. 2, Year 2011
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Description
Background: Hepatitis C virus (HCV) infection is associated with chronic progressive liver disease. Its global epidemiology is still not well ascertained and its impact will be confronted with a higher burden in the next decade. Aim: The goal of this study was to develop a tool that can be used to predict the future prevalence of the disease in different countries and, more importantly, to understand the cause and effect relationship between the key assumptions and future trends. Methods: A system approach was used to build a simulation model where each population was modeled with the appropriate inflows and outflows. Sensitivity analysis was used to identify the key drivers of future prevalence. Results: The total HCV-infected population in the US was estimated to decline 24% from 3.15 million in 2005 to 2.47 million in 2021, while disease burden will increase as the remaining infected population ages. During the same period, the mortality rate was forecasted to increase from 2.1 to 3.1%. The diagnosed population was 50% of the total infections, while less than 2% of the total infections were treated. Conclusion: We have created a framework to evaluate the HCV-infected populations in countries around the world. This model may help assess the impact of policies to meet the challenges predicted by the evolution of HCV infection and disease. This prediction tool may help to target new public health strategies. © 2011 John Wiley & Sons A/S.
Authors & Co-Authors
Kershenobich-Stalnikowitz, David D.
Mexico, Mexico
Hospital General de Mexico
Razavi, Homie A.
United States, Louisville
Center for Disease Analysis
Cooper, Curtis L.
Canada, Ottawa
University of Ottawa
Alberti, Alfredo
Italy, Padua
Università Degli Studi Di Padova
Dusheiko, Geoffrey M.
United Kingdom, London
The Royal Free Hospital
Pol, Stanislas
France, Paris
Ap-hp Assistance Publique - Hopitaux de Paris
Zuckerman, Elimelech
Israel, Haifa
Carmel Medical Center
Koike, Kazuhiko
Japan, Tokyo
Graduate School of Medicine
Han, Kwanghyub
South Korea, Seoul
Yonsei University College of Medicine
Wallace, Carolyn M.
United States, Louisville
Center for Disease Analysis
Zeuzem, Stefan S.
Germany, Frankfurt am Main
Universitätsklinikum Frankfurt
Negro, Francesco
Switzerland, Geneva
Hôpitaux Universitaires de Genève
Statistics
Citations: 55
Authors: 12
Affiliations: 11
Identifiers
Doi:
10.1111/j.1478-3231.2011.02535.x
ISSN:
14783231
Research Areas
Infectious Diseases
Study Design
Cross Sectional Study