Mathematical Modelling in Epidemiology: A Numerical study
| dc.contributor.author | Kaur, Mitveen | |
| dc.contributor.supervisor | Dhiman, Isha | |
| dc.date.accessioned | 2019-08-02T12:00:32Z | |
| dc.date.available | 2019-08-02T12:00:32Z | |
| dc.date.issued | 2019-08-02 | |
| dc.description.abstract | In order to understand the complexity of real world processes, one need to model these processes mathematically. In this thesis, we review a epidemic compartmental models and their classi fications. The aim of our approach is to develop an intuitive understanding of epidemic models and adapt a new technique Monte Carlo simulations for the validation of various epidemic model. A new model SEIQR has been introduced and results are validated using Runge Kutta method and Monte Carlo simulations | en_US |
| dc.identifier.uri | http://hdl.handle.net/10266/5559 | |
| dc.language.iso | en | en_US |
| dc.subject | Mathematical modelling | en_US |
| dc.subject | SEIQ model | en_US |
| dc.subject | SEIQR model | en_US |
| dc.subject | Epidemic models | en_US |
| dc.subject | Compartmental models | en_US |
| dc.subject | Monte Carlo simulations | en_US |
| dc.subject | Quarantine | en_US |
| dc.title | Mathematical Modelling in Epidemiology: A Numerical study | en_US |
| dc.type | Thesis | en_US |