Dear Colleagues,

The study of infectious disease dynamics has entered a new era in which modelers are increasingly turning to multiscale modeling to extend traditional modeling frameworks into new application areas and to achieve higher levels of detail and accuracy. The objective of this Special Issue is to change the current predominantly single scale modeling landscape in the design of planning frameworks for the control, elimination and even eradication of infectious disease systems through the exploitation of multiscale modeling methods. In single scale modeling of infectious disease dynamics, the scope and validity of mathematical models are restricted to a single temporal scale and single spatial scale. However, infectious disease systems are multilevel and multiscale complex systems. The complexity of infectious disease systems requires the application of multiscale modeling methods spanning multiple spatial scales and multiple temporal scales. This Special Issue seeks for original research or review articles in the area of multiscale modeling of infectious disease dynamics. Papers are invited that pioneer and establish a powerful conceptual foundation for multiscale modeling of infectious disease dynamics. The main focus of the work should be on elucidating intellectual foundations for the multiscale modeling of disease dynamics.

Specific topics include, but are not limited to:

1. Multiscale modeling of infectious disease systems processes and mechanisms.
2. Novel methods for integrating or linking multiple models and scales.
3. Numerical methods for solving multiscale models of infectious disease dynamics.
4. Analysis, evaluation and validation of multiscale models of infectious disease dynamics.
5. Application of multiscale models as planning frameworks for the control, elimination and even eradication of infectious disease systems.
6. Methods discovery for building of multiscale models of infectious disease dynamics.

Prof. Dr. Winston Garira
Prof. Dr. Faraimunashe Chirove
Guest Editors

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• multiscale modeling
• infectious disease dynamics
• epidemic modeling and control
• numerical analysis