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Mon. Jul 7, 2025

Tue. Jul 8, 2025

Wed. Jul 9, 2025

Thu. Jul 10, 2025

Fri. Jul 11, 2025

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Nonlinear study of SIR and UAIR models in temporal and Spatio-temporal frameworks

Dynamic epidemic models greatly help in understanding and forecasting the transmission pattern of epidemic diseases in a particular region. Disease modeling has become a critical tool in public health, offering insights into the spread, impact, and potential control strategies for infectious diseases. This mini-symposium brings experts from various fields to explore the latest advancements in mathematical and computational modeling techniques. Attendees will better understand how disease models inform decisions on prevention, treatment, and policy-making. Topics will include epidemic forecasting, model calibration, and real-world applications, with a focus on emerging diseases like diabetes, tuberculosis, cancer, etc., and the role of AI/ML in shaping future healthcare responses.

Epidemiological Frontiers: Exploring Disease Dynamics and Interventions

Joint Meeting of Asian Conference for Mathematical Biology and Annual Meeting of Japanese Society for Mathematical Biology (ACMB-JSMB2025)

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[MS14-03]Nonlinear study of SIR and UAIR models in temporal and Spatio-temporal frameworks

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