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arXiv · 2412.12315

A model for the dynamics of COVID-19 infection transmission in human with latent delay

Amar N. Chatterjee·Teklebirhan Abraha·Fahad Al Basir·Delfim F. M. Torres
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Abstract

In this research, we have derived a mathematical model for within human dynamics of COVID-19 infection using delay differential equations. The new model considers a 'latent period' and 'the time for immune response' as delay parameters, allowing us to study the effects of time delays in human COVID-19 infection. We have determined the equilibrium points and analyzed their stability. The disease-free equilibrium is stable when the basic reproduction number, $R_0$, is below unity. Stability switch of the endemic equilibrium occurs through Hopf-bifurcation. This study shows that the effect of latent delay is stabilizing whereas immune response delay has a destabilizing nature.

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Amar N. Chatterjee, Teklebirhan Abraha, Fahad Al Basir, Delfim F. M. Torres. 2024-12-16. A model for the dynamics of COVID-19 infection transmission in human with latent delay. https://doi.org/10.1007/s13370-024-01226-0

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