|
Document Type |
: |
Thesis |
|
Document Title |
: |
Mathematical modelling and computational tools for identification of potential antiviral drugs candidates against Dengue النمذجة الرياضية و الأدوات الحسابية لتحديد الأدوية المضادة للفيروسات المحتملة ضد حمى الضنك |
|
Subject |
: |
Faculty of Science |
|
Document Language |
: |
Arabic |
|
Abstract |
: |
A global health hazard, dengue fever causes or contributes to the deaths of 50,000 people and 390 million cases of symptomatic cases every year in more than half of the globe. This dissertation investigates the dynamics of dengue disease transmission and its control utilizing mathematical modeling techniques in conjunction with meticulous analysis and computing. The following three major issues are covered in this study: (i) a host-vector mathematical model that taking panic, tension, or anxiety into account in the susceptible, exposed, and infected classes to host population. (ii) We have considered three classes of infected population, infected human, symptomatically infected human and isolated infected human. (iii) Human awareness of the exposed individuals and vector control have been considered. For each of our suggested models, we investigate the essential qualitative features of the models, such as the existence, uniqueness, nonnegativity, and boundedness of solutions, which indicates the models biological acceptability. In order to determine the basic reproduction number 𝑅0, the next-generation matrix is used. The Lyapunov function is also used to evaluate the global stability of disease-free and endemic equilibrium points. To analyze the effect of the crucial aspects of the disease’s transmission and to validate the analytical findings, numerical simulations of a variety of compartments have been constructed using MATLAB. The sensitivity analysis of the epidemic model is performed to establish the relative significance of the model parameters to disease transmission. |
|
Supervisor |
: |
Prof. Aatef Hobiny |
|
Thesis Type |
: |
Doctorate Thesis |
|
Publishing Year |
: |
1445 AH
2023 AD |
|
Co-Supervisor |
: |
Dr. Ahmed Alshehri |
|
Added Date |
: |
Tuesday, November 28, 2023 |
|
Researchers
| مد رفعت حسان | Hasan, Md Rifat | Researcher | Doctorate | |
|