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| A Fractional-order SAIQR Epidemic Model with Media Effects |
| HU Xinghua, LIU Yingyue
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| College of Science, Liaoning Technical University, Fuxin 123000, China |
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Abstract In order to explore the transmission mechanism of Omicron COVID-19 and predict the epidemic trend, a Caputo-conformable fractional-order SAIQR epidemic model with media effects is established. The basic reproduction number, equilibrium points, stability and other dynamic behaviors of the model are analyzed. The model parameters are fitted by nonlinear least squares with real data and we performed sensitivity analysis of parameters. The numerical simulation results indicate that the media effects parameters play an important role in reducing the number of infected individuals. Adjusting two fractional parameters gives the model numerical solution greater freedom compared to adjusting a single parameter.
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Received: 11 November 2022
Published: 17 July 2024
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