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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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Modeling the Transmission Dynamics of Tuberculosis in South Korea to Assess the National Control Program

Epidemic Modeling: Advances in Disease Control and Future Challenges" underscores the essential role of mathematical and computational models in managing infectious diseases. These models predict disease spread, identify hotspots, and evaluate intervention effectiveness, guiding policymakers in resource allocation and public health measures. With advancements in methodologies, such as machine learning and network theory, models have become more accurate and realistic. They also enable real-time surveillance and adaptive management of outbreaks, while anticipating future challenges like antimicrobial resistance and zoonotic diseases. Additionally, the field promotes interdisciplinary collaboration, enhancing model robustness and improving public understanding of health risks, ultimately strengthening disease control efforts.

Epidemic Modeling: Advances in Disease Control and Future Challenges

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

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[SS10-03]Modeling the Transmission Dynamics of Tuberculosis in South Korea to Assess the National Control Program

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