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Statistical Methods in Medical Research
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Article

Modelling the past, current and future HCV burden in France: detailed analysis and perspectives

Sylvie Deuffic-Burban1*, Philippe Mathurin2, and Alain-Jacques Valleron3

1 CTRS-INSERM U795, CHRU Lille, Lille, France and LEM-CNRS, Université Catholique de Lille, Lille, France
2 CTRS-INSERM U795, CHRU Lille, Lille, France and Service d'Hépato-Gastroentérologie, Hôpital Huriez, CHRU Lille, Lille, France
3 Unité de Santé Publique, Hôpital Saint-Antoine, Paris, France

* To whom correspondence should be addressed.


   Abstract

Two national HCV projections have been published in France which assumed that a part of observed hepa-tocellular carcinoma (HCC) deaths is a consequence of HCV epidemic. They applied the back-calculation method, in combination with a Markov model, to reconstruct the past history of HCV infection and then to predict HCV-related mortality. A preliminary model was first developed in the absence of effective therapy. It allowed testing many assumptions to model HCV natural history that were compatible with observed incidence of HCV-related HCC deaths. This model was then updated to take into account the availability of treatment and more recent epidemiological data. These two models are described in detail and results are discussed with a view to addressing the models' limitations. The models offered a useful tool to assess public health policy scenarios in planning healthcare responses to the HCV epidemic.

First published on November 26, 2008, doi:10.1177/0962280208094697

Statistical Methods in Medical Research 2009;18:233.

A more recent version of this article appeared on June 1, 2009


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