Urban Public Epidemic Prevention and Control Model Based on Nonlinear Differential Equations
Author:
Affiliation:
1. 1 Jiangnan Film and Television Art College , Wuxi , , China .
2. 2 Beijing Institute of Technology , Beijing , , China .
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science
Link
https://www.sciendo.com/pdf/10.2478/amns.2023.1.00009
Reference11 articles.
1. Avery, C., Bossert, W., Clark, A., Ellison, G., & Ellison, S. F. (2020). An economist's guide to epidemiology models of infectious disease. Journal of Economic Perspectives, 34(4), 79-104.
2. Derjany, P., Namilae, S., & Srinivasan, A. (2021). Parameter Space Exploration in Pedestrian Queue Design to Mitigate Infectious Disease Spread. Journal of the Indian Institute of Science, 101(3), 329-339.
3. Kamerlin, S. C., & Kasson, P. M. (2020). Managing coronavirus disease 2019 spread with voluntary public health measures: Sweden as a case study for pandemic control. Clinical Infectious Diseases, 71(12), 3174-3181.
4. Touchent, K. A., Hammouch, Z., & Mekkaoui, T. (2020). A modified invariant subspace method for solving partial differential equations with non-singular kernel fractional derivatives. Applied Mathematics and Nonlinear Sciences, 5(2), 35-48.
5. Modanli, M., & Akgül, A. (2020). On Solutions of Fractional order Telegraph partial differential equation by Crank-Nicholson finite difference method. Applied Mathematics and Nonlinear Sciences, 5(1), 163-170.
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