Some approximate solutions to the spread of influenza A virus infection
Boldizsar Kalmar
TL;DR
This paper analyzes a mathematical model of influenza A virus spread using differential equations, focusing on the system's trajectories and long-term behavior to understand infection dynamics.
Contribution
It introduces an analysis of the dynamical system's surface trajectories and asymptotic behavior specific to influenza A virus spread modeling.
Findings
Identification of key surface trajectories
Insights into the asymptotic behavior of the infection spread
Mathematical characterization of the dynamical system
Abstract
We study differential equations describing the spread of influenza A virus infection based on a mathematical model. We look for surface trajectories of the dynamical system in hand and their asymptotic behaviour.
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Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · COVID-19 epidemiological studies · Mathematical Biology Tumor Growth