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The Mathematical Modeling of the Host-Virus Interaction in Dengue Virus Infection: A Quantitative Study
Zhaobin Xu1, Hongmei Zhang1, Dongying Yang2
1School of Life Science, Dezhou University, Dezhou 253023, China.
Viruses
|February 24, 2024
Summary
A new mathematical model simulates antibody-virus dynamics in infectious diseases like Dengue fever. It explains infection severity and antibody-dependent enhancement, offering insights for future disease control strategies.
Area of Science:
- Immunology
- Mathematical Biology
- Virology
Background:
- Infectious diseases, including Dengue fever, present significant public health challenges.
- Mathematical models are essential for understanding the kinetics of antibody-virus interactions.
- Existing models require enhancement to capture complex immunological dynamics.
Purpose of the Study:
- To develop a novel mathematical model for simulating antibody and virus dynamics.
- To incorporate antibody dynamic theory and immunological principles for enhanced accuracy.
- To specifically model primary and secondary Dengue infections and antibody-dependent enhancement.
Main Methods:
- Integration of previous mathematical models with antibody dynamic theory.
- Formulation of viral clearance by antibodies.
- Inclusion of positive feedback from virus-antibody complexes on antibody regeneration.
Main Results:
- The model accurately simulates virus and antibody kinetics in Dengue fever patients.
- It differentiates between primary and secondary Dengue infections concerning IgM/IgG antibodies.
- Faster removal of antibody-virus complexes may increase viral load and worsen symptoms, explaining antibody-dependent enhancement.
Conclusions:
- The developed model provides quantitative insights into antibody-virus dynamics.
- It offers a robust framework for understanding Dengue infection variations.
- This work lays the groundwork for future mathematical models to combat infectious diseases.
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