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10th International Conference on Computational Data and Social Networks, CSoNet 2021
; 13116 LNCS:218-230, 2021.
Article
in English
| Scopus | ID: covidwho-1598176
ABSTRACT
We propose a network based framework to model spread of disease. We study the evolution and control of spread of virus using the standard SIR-like rules while incorporating the various available models for social interaction. The dynamics of the framework has been compared with the real-world data of COVID-19 spread in India. This framework is further used to compare vaccination strategies. © 2021, Springer Nature Switzerland AG.