Volume 19, no. 1Pages 5 - 15 Modelling the Spread of Infectious Diseases Taking Into Account a Two-Factor Taxis
A.V. BudyanskyThe paper studies a mathematical model of a mass infectious disease, written as a system of nonlinear reaction-diffusion-advection equations. The spatiotemporal interaction of two population groups is considered: susceptible to infection and infected. Local interaction determining the mutual transition from one group to another and migration flows caused by diffusion and directed migration are taken into account. The modeling is carried out without taking into account the birth and mortality rates of the population. For spatial approximation of the problem, the finite difference method based on shifted grids was used. Computer experiments were carried out in the MATLAB system. The study established the existence of an analytical solution corresponding to the stationary distribution of both population groups. Using computational experiments, parametric dependencies were established that affect the formation of epidemiological structures and the ratio of the shares of the infected and healthy population.
Full text- Keywords
- math modeling; epidemic; compartmental model; nonlinear PDEs; taxis.
- References
- 1. Snowden F.M. Epidemics and Society: from the Black Death to the Present. New Haven, Yale University Press, 2019. DOI: 10.12987/9780300249149
2. Brauer F., Castillo-Chavez C. Mathematical Models in Population Biology and Epidemiology. New York, Springer, 2012. DOI: 10.1007/978-1-4614-1686-9
3. Schlickeiser R., Kroger M. Mathematics of Epidemics: on the General Solution of SIRVD, SIRV, SIRD, and SIR Compartment Models. Mathematics,2024, vol.12, no.7, 45 p. DOI: 10.3390/math12070941
4. Bubeev Yu.A., Vladimirskiy B.M., Ushakov I.B. et al. Mathematical Modeling of Spread COVID-19 Epidemic for Preventive Measures to Protect Life and Health od Elderly. Bulletin of the South Ural State University. Series: Mathematical Modelling, Programming and Computer Software, 2021, vol. 14, no. 3, pp. 92-98. DOI: 10.14529/mmp210307
5. Kumar P., Erturk V.S., Yusuf A. et al. A Study on Canine Distemper Virus (CDV) and Rabies Epidemics in the Red Fox Population via Fractional Derivatives. Results in Physics, 2021, vol. 25, article ID: 104281. DOI: 10.1016/j.rinp.2021.104281
6. Ammi M.R.S., Tahiri M., Torres D.F.M. Global Stability of a Caputo Fractional SIRS Model with General Incidence Rate. Mathematics in Computer Science, 2021, vol. 15, no. 9, pp. 91-105. DOI: 10.1007/s11786-020-00467-z
7. Murray J.D. Mathematical Biology II. Spatial Models and Biomedical Applications. New York, Springer, 2003. DOI: 10.1007/b98869
8. Govorukhin V.N., Zagrebneva A.D. Population Waves and Their Bifurcations in a Model ``Active Predator - Passive Prey''. Computer Research and Modelling, 2020, vol. 12, no. 4, pp. 831-843. DOI: 10.20537/2076-7633-2020-12-4-831-843
9. Frischmuth K., Budyansky A.V., Tsybulin V.G. Modeling of Invasion on a Heterogeneous Habitat: Taxis and Multistability. Applied Mathematics and Computation, 2021, vol. 410, article ID: 126456. DOI: 10.1016/j.amc.2021.126456
10. Tyutyunov Y.V., Titova L.I., Sen D., Banerjee M. Predator Overcomes the Allee Effect Due to Indirect Prey-Taxis. Ecological Complexity, 2019, vol. 39, article ID: 100772. DOI: 10.1016/j.ecocom.2019.100772
11. Fitzgibbon W.E., Langlais M., Morgan J.J. A Reaction-Diffusion System Modeling Direct and Indirect Transmission of Diseases. Discrete and Continuous Dynamical Systems, Series: B, 2004, vol. 4, no. 4, pp. 893-910. DOI: 10.3934/dcdsb.2004.4.893
12. Sidi Ammi M.R., Zinihi A., Raezah A. A., Sabbar Y. Optimal Control of a Spatiotemporal SIR Model with Reaction-Diffusion Involving rho-Laplacian Operator. Results in Physics, 2023, vol. 52, article ID: 106895. DOI: 10.1016/j.rinp.2023.106895
13. Allen L.J.S, Bolker B.M., Lou Y., Nevai A.L.. Asymptotic Profiles of the Steady States for an SIS Epidemic Disease Patch Model. SIAM Journal on Applied Mathematics, 2007, vol. 67, no. 5, pp. 1283-1309. DOI: 10.1137/060672522
14. Rui Peng, Shengqiang Liu. Global Stability of the Steady States of an SIS Epidemic Reaction-Diffusion Model. Nonlinear Analysis, 2009, vol. 71, no. 1-2, pp. 239-247. DOI: 10.1016/j.na.2008.10.043
15. Budyansky A.V. Impact of Directed Migration on the Incidence of the Population in the SIS Model. Bulletin of the South Ural State University. Series: Mathematical Modelling, Programming and Computer Software, 2024, vol. 17, no. 3, pp. 18-28. DOI: 10.14529/mmp240302
16. Budyansky A.V., Tsybulin V.G. Impact of Directed Migration on Formation of Spatial Structures of Populations. Biophysics, 2015, vol. 60, no. 4, pp. 622-631. DOI: 10.1134/S0006350915040077
17. Budyansky A.V. Numerical Study of the Impact of Directed Migration of Non-Indigenous Species on Invasion Scenarios. Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2023, vol. 33, no. 4, pp. 551-562. DOI: 10.35634/vm230401