Publication date: Aug 08, 2026
According to this report, a mathematical model incorporating cell populations and immune cells was developed to simulate SARS-CoV-2 virus dynamics within the human body. The study identified two key equilibrium points: a disease-free state and an endemic state, determined through numerical simulations using MATLAB and the RungeKutta method. Specifically, a value of R_01 resulted in sustained viral persistence at the endemic equilibrium level. The findings suggest that maintaining R_0 below one is crucial for preventing long-term viral spread based on these model results.
| Concepts | Keywords |
|---|---|
| Fourth | Cov |
| Healthy | Determine |
| Matlab | Dynamics |
| Models | Endemic |
| Virus | Equilibrium |
| Infected | |
| Numerical | |
| Point | |
| Points | |
| Population | |
| Sars | |
| Spread | |
| Stop | |
| Viral | |
| Virus |
Original Article
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