Abstract
The coronavirus caused havoc around the world. There was a terrible situation in villages and cities, and no one knew how to deal with it. Although the governments of each country tried their best to save the common people, vaccination programs and testing centers were built everywhere. However, people were not utilizing it due to fear. Because of this, the infection spread rapidly. The qualitative study of the mathematical model here is in context with the situation when bivalent vaccination and testing are available for an epidemic. The mathematical model combines the exposed period and influenza model with vaccination included under the peer effect in rural India under vital dynamics. The boundedness and positivity of the solution for the proposed model and its unique disease-free equilibrium point with its local and global stability are established. Threshold and sensitivity analysis of the model are also taken in context to study the role of parameters. Finally, simulation supports the established theoretical results.
Recommended Citation
Singh, Manoj Kumar and ., Anjali
(2025).
(R2107) Analysis of a Bivalent Vaccine Model with Peer Influence Effect on Testing,
Applications and Applied Mathematics: An International Journal (AAM), Vol. 20,
Iss.
2, Article 14.
Available at:
https://digitalcommons.pvamu.edu/aam/vol20/iss2/14