Pulse vaccination of a time-delayed SIRS epidemic model with nonlinear incidence rate
| dc.contributor.author | Yeleussinova, Meruyert | |
| dc.contributor.editor | Kashkynbayev, Ardak | |
| dc.contributor.other | Tourassis, Vassilios D. | |
| dc.date.accessioned | 2019-08-29T09:24:41Z | |
| dc.date.available | 2019-08-29T09:24:41Z | |
| dc.date.issued | 2019-05-03 | |
| dc.description | Submitted to the Department of Mathematics on May 3, 2019, in partial fulfillment of the requirements for the degree of Master of Science in Applied Mathematics | en_US |
| dc.description.abstract | This work deals with an application of pulse vaccination for a varying size of the population of time-delayed ๐๐ผ๐ ๐ epidemic model. The dynamics of the infectious disease depends on the threshold value, ๐ 0, known as the basic reproduction number. In the classical epidemic models, this value is evaluated by means of the next generation matrix. However, this method does not work for non-autonomous systems. Since we consider the pulse vaccination strategy for epidemic models our system is naturally non-autonomous. We follow the general approach to derive ๐ 0 in terms of spectral radii of Poincare maps. Further, we show the existence of an infectious-free periodic solution and its global attractiveness for ๐ 0 < 1 and the persistence of infectious disease for ๐ 0 > 1. | en_US |
| dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/4194 | |
| dc.language.iso | en | en_US |
| dc.publisher | Nazarbayev University School of Science and Technology | en_US |
| dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
| dc.subject | Research Subject Categories::MATHEMATICS::Applied mathematics | en_US |
| dc.subject | SIRS | en_US |
| dc.subject | epidemic model | en_US |
| dc.subject | pulse vaccination | en_US |
| dc.subject | Poincare map | en_US |
| dc.title | Pulse vaccination of a time-delayed SIRS epidemic model with nonlinear incidence rate | en_US |
| dc.type | Master's thesis | en_US |
| workflow.import.source | science |
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