Mathematical Modelling of Epidemic Dynamics and Control

Dear Colleagues,

As a Guest Editor, I am pleased to present this special issue on Mathematical Modelling of Epidemic Dynamics and Control. Infectious diseases remain a significant global challenge, and mathematical modeling plays a crucial role in understanding transmission mechanisms, evaluating intervention strategies, and guiding public health policies.

This collection explores cutting-edge research on epidemic modeling, including deterministic and stochastic frameworks, network-based approaches, and data-driven techniques. Key topics include:

• Transmission dynamics of emerging and re-emerging infectious diseases.
• Optimal control strategies, such as vaccination, quarantine, and social distancing.
• Impact of human behavior and mobility on disease spread.
• Machine learning and AI in epidemic forecasting.
• Economic and social factors in epidemic management.

The contributions highlight both theoretical advances and practical applications, providing insights for policymakers and researchers. By integrating mathematical rigor with real-world data, this issue aims to enhance our ability to predict, prevent, and mitigate future outbreaks.

We hope this compilation fosters interdisciplinary collaboration and inspires innovative solutions for epidemic control.

Dr. Liang Zhang
Guest Editor

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