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

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[6] Chen, X., & Yu, B. (2020). First two months of the 2019 Coronavirus Disease (COVID-19) epidemic in China: real-time surveillance and evaluation with a second derivative model. Global health research and policy, 5(1), 1-9. Search in Google Scholar

[7] Errett, N. A., Sauer, L. M., & Rutkow, L. (2020). An integrative review of the limited evidence on international travel bans as an emerging infectious disease disaster control measure. J Emerg Manag, 18(1), 7-14. Search in Google Scholar

[8] Liu, R., Zhong, J., Hong, R., Chen, E., Aihara, K., Chen, P., & Chen, L. (2021). Predicting local COVID-19 outbreaks and infectious disease epidemics based on landscape network entropy. Sci Bull, 66(22), 2265-70. Search in Google Scholar

[9] Giuliani, D., Dickson, M. M., Espa, G., & Santi, F. (2020). Modelling and predicting the spatio-temporal spread of COVID-19 in Italy. BMC infectious diseases, 20(1), 1-10. Search in Google Scholar

[10] Pal, D., Ghosh, D., Santra, P. K., & Mahapatra, G. S. (2022). Mathematical analysis of a COVID-19 epidemic model by using data driven epidemiological parameters of diseases spread in India. Biophysics, 67(2), 231-244. Search in Google Scholar

[11] Chang, S. L., Piraveenan, M., Pattison, P., & Prokopenko, M. (2020). Game theoretic modelling of infectious disease dynamics and intervention methods: a review. Journal of biological dynamics, 14(1), 57-89. Search in Google Scholar