Conference Papers

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Author: search.filters.author.Bhat, S.Subject: search.filters.subject.Agent-Based Modeling

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    Leveraging SIR and Barabási-Albert Models for Epidemic Modelling
    (IEEE Computer Society, 2024) Bhat, S.; Ragha Sai, V.; Mundody, S.; Guddeti, R.M.R.
    The Susceptible, Infected, and Recovered (SIR) model predicts the number of living beings in a population who are infected and recovering from a disease. This article addresses the critical challenge of modelling and simulating the spread of contagious diseases in a population. Drawing inspiration from global events like the COVID-19 pandemic, our proposed simulation aims to comprehensively understand the epidemic dynamics and thus enhances the public awareness for effective decision-making. The proposed simulation integrates the computational models and simulation techniques, including the logistic functions, agent-based models, SIR models, and network-based spread models. © 2024 FRUCT.