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A Mathematical Model for Early HBV and -HDV Kinetics during Anti-HDV Treatment

Rami Zakh, Alexander Churkin, William Bietsch, Menachem Lachiany, Scott J. Cotler, Alexander Ploss, Harel Dahari and Danny Barash
Additional contact information
Rami Zakh: Department of Computer Science, Ben-Gurion University, Beer-Sheva 8410501, Israel
Alexander Churkin: Department of Software Engineering, Sami Shamoon College of Engineering, Beer-Sheva 8410501, Israel
William Bietsch: Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA
Menachem Lachiany: Campus Lev, Jerusalem College of Technology, Jerusalem 91160, Israel
Scott J. Cotler: Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA
Alexander Ploss: Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
Harel Dahari: Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA
Danny Barash: Department of Computer Science, Ben-Gurion University, Beer-Sheva 8410501, Israel

Mathematics, 2021, vol. 9, issue 24, 1-9

Abstract: Hepatitis delta virus (HDV) is an infectious subviral agent that can only propagate in people infected with hepatitis B virus (HBV). HDV/HBV infection is considered to be the most severe form of chronic viral hepatitis. In this contribution, a mathematical model for the interplay between HDV and HBV under anti-HDV treatment is presented. Previous models were not designed to account for the observation that HBV rises when HDV declines with HDV-specific therapy. In the simple model presented here, HDV and HBV kinetics are coupled, giving rise to an improved viral kinetic model that simulates the early interplay of HDV and HBV during anti-HDV therapy.

Keywords: hepatitis delta virus; HDV-HBV coinfection; viral kinetic models (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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