<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper proposes a new epidemiological mathematical model based on the dynamics of urban public epidemic prevention and control model. Then, the nonlinear differential equation of epidemic propagation dynamics is deduced. Secondly, this paper uses the exponential equation to fit the curve, takes three days as the optimal window time, and estimates the turning point of the urban public epidemic. Again, this paper establishes a dynamic model of dynamic experience transfer. Finally, this paper uses the COVID19 example to verify the public epidemic prevention and control problems described in the text. Experimental simulations show that the algorithm can better grasp important epidemiological dynamics.</p>
</abstract>

This paper proposes a new epidemiological mathematical model based on the dynamics of urban public epidemic prevention and control model. Then, the nonlinear differential equation of epidemic propagation dynamics is deduced. Secondly, this paper uses the exponential equation to fit the curve, takes three days as the optimal window time, and estimates the turning point of the urban public epidemic. Again, this paper establishes a dynamic model of dynamic experience transfer. Finally, this paper uses the COVID19 example to verify the public epidemic prevention and control problems described in the text. Experimental simulations show that the algorithm can better grasp important epidemiological dynamics.

Urban Public Epidemic Prevention and Control Model Based on Nonlinear Differential Equations

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper proposes a new epidemiological mathematical model based on the dynamics of urban public epidemic prevention and control model. Then, the nonlinear...

Urban Public Epidemic Prevention and Control Model Based on Nonlinear Differential Equations

Online veröffentlicht: 10. März 2023

Seitenbereich: 2911 - 2920

Eingereicht: 06. Jan. 2022

Akzeptiert: 04. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.1.00009

Schlüsselwörter
Nonlinear differential equation, Public epidemic, Infectious disease prevention model, COVID 19, Epidemic forecast

© 2023 Han Xue et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Urban Public Epidemic Prevention and Control Model Based on Nonlinear Differential Equations

Online veröffentlicht: 10. März 2023

Seitenbereich: 2911 - 2920

Eingereicht: 06. Jan. 2022

Akzeptiert: 04. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.1.00009

SchlüsselwörterNonlinear differential equation, Public epidemic, Infectious disease prevention model, COVID 19, Epidemic forecast

© 2023 Han Xue et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Nonlinear differential equation, Public epidemic, Infectious disease prevention model, COVID 19, Epidemic forecast