Issue |
Math. Model. Nat. Phenom.
Volume 16, 2021
|
|
---|---|---|
Article Number | 58 | |
Number of page(s) | 17 | |
DOI | https://doi.org/10.1051/mmnp/2021050 | |
Published online | 09 November 2021 |
Nonlinear state-dependent pulse control for an SIRS epidemic model with varying size and its application to the transmission of brucellosis
College of Mathematics and System Science, Xinjiang University,
Urumqi
830017, P.R. China.
* Corresponding author: lfnie@163.com
Received:
15
October
2020
Accepted:
16
October
2021
As the disease spreads, it will inevitably cause important damage to the life and health of the population, resulting in changes in the population quantity. In addition, in some economically underdeveloped areas, limited medical resources will also have an important impact on the prevention and control of diseases. Based on these, a susceptible-infected-recovered-susceptible (SIRS) epidemic model is established, where state-dependent pulse control strategy, varying total population and limited medical resources are introduced. By using the qualitative theory of ordinary differential equation, differential inequality techniques, Poincaré map, and other methods, some sufficient conditions of the existence and orbital asymptotical stability of positive order-1 or order-2 periodic solution are obtained in various situations. Theoretical results imply that the proportion of infected class can be controlled at a desired low level for a long time and disease will not break out among population. Finally, based on realistic parameters of brucellosis in ruminants, numerical simulations have been performed to expalin/extend our analytical results and the feasibility of the state-dependent feedback control strategy.
Mathematics Subject Classification: 34A37 / 34D23 / 92D30
Key words: SIRS model with varying size / nonlinear state-dependent vaccination / order-k periodic solution / orbital stability / brucellosis
© The authors. Published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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