Mathematical modeling of infectious diseases and impact of vaccination
| dc.contributor.author | Bolatova D. | |
| dc.date.accessioned | 2025-06-13T08:47:47Z | |
| dc.date.available | 2025-06-13T08:47:47Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | The world is changing and evolving these days, and the various germs and viruses that surround us are also changing and evolving. For this reason, it is essential to choose the best strategy for combating these infections while preserving the health as much as possible. This coursework uses a fundamental mathematical term in bio-mathematics which is a basic reproduction number R0. It is a significant epidemiological term illustrating the number of infected people by one sick individual, hence giving the idea of a possible epidemics. Another thing to investigate in this coursework is a numerical approximation of the epidemic model under various scenarios to examine the model from a mathematical perspective. The following project covers the following topics: vaccination strategy, stability theory, mathematical biology, modeling of epidemics, optimization problems, and Python simulation. According to the epidemic model, one of the best strategies for immunizing the populace is pulse vaccination. The Next Generation matrix approach and the Hartman-Grobman method are two linearization techniques. | |
| dc.identifier.citation | Bolatova D / Mathematical modeling of infectious diseases and impact of vaccination / 7M05401 - Department of Mathematics and Natural Sciences / 2023 | |
| dc.identifier.uri | https://repository.sdu.edu.kz/handle/123456789/1768 | |
| dc.language.iso | en | |
| dc.publisher | Faculty of Engineering and Natural Sciences | |
| dc.subject | Python simulation | |
| dc.subject | SEIR mode | |
| dc.subject | Jacobian Matrix | |
| dc.title | Mathematical modeling of infectious diseases and impact of vaccination | |
| dc.type | Thesis |