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http://hdl.handle.net/2080/4606Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Upadhyay, Siddhartha | - |
| dc.contributor.author | Chowdhury, Soudeep | - |
| dc.contributor.author | Nath, Krishanu | - |
| dc.contributor.author | Bera, Manas Kumar | - |
| dc.date.accessioned | 2024-07-09T11:31:42Z | - |
| dc.date.available | 2024-07-09T11:31:42Z | - |
| dc.date.issued | 2024-07 | - |
| dc.identifier.citation | 10th International Conference on Control, Decision and Information Technologies (CoDIT), Valletta, Malta, 1-4 July 2024 | en_US |
| dc.identifier.uri | http://hdl.handle.net/2080/4606 | - |
| dc.description | Copyright belongs to proceeding publisher | en_US |
| dc.description.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. | en_US |
| dc.subject | COVID-19 | en_US |
| dc.subject | Vaccination | en_US |
| dc.subject | Reproduction Num-ber, | en_US |
| dc.subject | Epidemiology | en_US |
| dc.title | SVAIR: An Approach to Model COVID-19 with Vaccination | en_US |
| dc.type | Article | en_US |
| 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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