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http://hdl.handle.net/2080/4606| Title: | SVAIR: An Approach to Model COVID-19 with Vaccination |
| Authors: | Upadhyay, Siddhartha Chowdhury, Soudeep Nath, Krishanu Bera, Manas Kumar |
| Keywords: | COVID-19 Vaccination Reproduction Num-ber, Epidemiology |
| Issue Date: | Jul-2024 |
| Citation: | 10th International Conference on Control, Decision and Information Technologies (CoDIT), Valletta, Malta, 1-4 July 2024 |
| Abstract: | This paper proposes a nonlinear mathematical model to describe the dynamics of COVID-19 with vaccination. The population has been divided into six compartments, i.e., susceptible, vaccinated with the first dose, vaccinated with the second dose, asymptomatic, infected, and recovered. The name of the model has been given SVAIR (susceptible-vaccinated-asymptomatic-infected-recovered). The effective reproduction number is calculated, and its significance in epidemiology is discussed. The proposed model focuses on the impact of vaccination in reducing the effective reproduction number. |
| Description: | Copyright belongs to proceeding publisher |
| URI: | http://hdl.handle.net/2080/4606 |
| Appears in Collections: | Conference Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2024_CoDIT_MKBera_SVAIR.pdf | 327.92 kB | Adobe PDF | View/Open Request a copy |
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