Analysis, Prediction and Control of Epidemic Spreading through Networks
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Dynamical Systems".
Deadline for manuscript submissions: closed (1 December 2023) | Viewed by 325
Special Issue Editors
Interests: epidemic modeling; network science
Special Issues, Collections and Topics in MDPI journals
Interests: evolutionary game theory; complex networks; complex systems; opinion dynamics; social behavior; social networks; nonlinear dynamics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The pandemic of severe acute respiratory syndrome coronavirus 2 has led to many lives lost and unprecedented restrictions on daily lives around the world. Interdisciplinary communities of scientists have been making enormous efforts to develop epidemic models to control public health crises. Contact networks representing individuals as nodes and social interactions as links are useful tools for studying epidemic spread. Despite recent advances, however, the pandemic has revealed that challenges exist regarding the accuracy of the current predictive tools and their practical role in epidemic control. For example, economic, human behavioral, and social factors can be infused into current epidemic models to better support public health decision making. Machine learning approaches can be leveraged to improve epidemic predictions from limited data. The goal of this Special Issue is thus to seek original works and review papers focusing on epidemic spread. We hope for a broad range of topics to be covered, across theory, methodology, and application of empirical data to epidemic prediction and control.
Topics of interest include but are not limited to the following areas:
- Network epidemic models;
- Epidemic prediction and control;
- Interplay between human behavior factors and epidemic dynamics;
- Artificial intelligence and machine learning approaches;
- Complex systems;
- Nonlinear dynamics;
- Network science;
- Evolutionary games.
Dr. Qihui Yang
Dr. Changwei Huang
Guest Editors
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