1. Global dynamics of COVID-19 epidemic model with recessive infection and isolation.
- Author
-
Yuan R, Ma Y, Shen C, Zhao J, Luo X, and Liu M
- Subjects
- Asymptomatic Infections epidemiology, Basic Reproduction Number statistics & numerical data, COVID-19 prevention & control, COVID-19 transmission, Computer Simulation, Humans, India epidemiology, Markov Chains, Mathematical Concepts, Monte Carlo Method, Pandemics prevention & control, Pandemics statistics & numerical data, Quarantine statistics & numerical data, COVID-19 epidemiology, Epidemics prevention & control, Epidemics statistics & numerical data, Models, Biological, SARS-CoV-2
- Abstract
In this paper, we present an SEIIaHR epidemic model to study the influence of recessive infection and isolation in the spread of COVID-19. We first prove that the infection-free equilibrium is globally asymptotically stable with condition R
0 <1 and the positive equilibrium is uniformly persistent when the condition R0 >1. By using the COVID-19 data in India, we then give numerical simulations to illustrate our results and carry out some sensitivity analysis. We know that asymptomatic infections will affect the spread of the disease when the quarantine rate is within the range of [0.3519, 0.5411]. Furthermore, isolating people with symptoms is important to control and eliminate the disease.- Published
- 2021
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