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Related Experiment Video

Updated: Jul 8, 2026

Modeling Hepatitis B Virus Infection in Non-Hepatic 293T-NE-3NRs Cells

Modeling Hepatitis B Virus Infection in Non-Hepatic 293T-NE-3NRs Cells

Published on: June 5, 2020

Dynamics of an HBV model with diffusion and delay.

Kaifa Wang¹, Wendi Wang, Shiping Song

¹Department of Mathematics, College of Medicine, Third Military Medical University, Chongqing 400038, PR China. kaifawang@yahoo.com.cn

Journal of Theoretical Biology

|December 25, 2007

Summary

This study models hepatitis B virus (HBV) infection dynamics using a diffusion model with intracellular time delays. Analysis reveals how diffusion and time delays impact HBV spread in finite, homogeneous, and inhomogeneous environments.

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Detection of Low Copy Number Integrated Viral DNA Formed by In Vitro Hepatitis B Infection

Detection of Low Copy Number Integrated Viral DNA Formed by In Vitro Hepatitis B Infection

Published on: November 7, 2018

Area of Science:

Mathematical Biology
Virology
Epidemiology

Background:

Hepatitis B virus (HBV) infection poses a significant global health challenge.
Understanding HBV infection dynamics is crucial for developing effective control strategies.
Intracellular processes and spatial spread influence viral pathogenesis.

Purpose of the Study:

To model and analyze HBV infection within a finite spatial domain.
To investigate the impact of intracellular time delays on HBV infection dynamics.
To explore the combined effects of diffusion and time delays in both homogeneous and inhomogeneous environments.

Main Methods:

Development of a mathematical diffusion model for HBV infection.
Analytical determination of equilibrium solutions in homogeneous spaces.
Stability analysis of equilibrium solutions.
Computational simulations to study effects in inhomogeneous spaces.

Main Results:

Equilibrium solutions for HBV infection were derived.
Stability of these solutions was analyzed under homogeneous conditions.
Computer simulations demonstrated the influence of diffusion and intracellular time delay on HBV spread in inhomogeneous settings.

Conclusions:

The study provides insights into the mathematical modeling of HBV infection.
Intracellular time delays and spatial diffusion are critical factors affecting HBV spread.
The findings contribute to a better understanding of HBV pathogenesis and control.