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Interventions and their efficacy in controlling the spread of an epidemic: A numerical study
Journal
Chaos
ISSN
10541500
Date Issued
2022-03-01
Author(s)
Shukla, Shantanu
Tiwari, Ishant
Sarin, Pradeep
Parmananda, P.
Abstract
The effect of interventions on the progression of an epidemic is studied by numerically modeling attributes, such as lockdowns and vaccinations within a stochastic, highly connected, mobile community using an agent-based model. Based on real life assumptions, we are able to gauge the effectiveness of various strategies to contain the spread of a disease through a population. The fine-tuning of control parameters makes the model coherent with real life scenarios and robust from a policy-maker's perspective.