The research and development process for multiscale models of infectious disease systems
1Modelling Health and Environmental Linkages Research Group (MHELRG), Department of Mathematics and Applied Mathematics, University of Venda, Thohoyandou, South Africa.
Plos Computational Biology
|April 3, 2020
Summary
This study introduces a methodology for developing multiscale models in infectious disease dynamics. It provides a structured approach for creating these complex systems models, serving as a foundation for future research.
Area of Science:
- Complexity science
- Epidemiology
- Computational modeling
Background:
- Multiscale modeling of infectious diseases is an emerging area within complexity science.
- Current progress is insufficient to establish it as a mature sub-discipline.
- A structured methodology is needed for developing robust infectious disease models.
Purpose of the Study:
- To present a novel methodology for the development of multiscale models of infectious disease systems.
- To outline a set of research and development activities for building these models.
- To provide a foundational framework for advancing the field of infectious disease modeling.
Main Methods:
- The study proposes a methodology comprising partially ordered research and development activities.
- This approach integrates diverse scientific perspectives for model construction.
- The methodology focuses on a systematic process for designing multiscale models.
Main Results:
- A comprehensive methodology for designing multiscale models of infectious disease systems has been developed.
- The methodology facilitates the integration of various scientific approaches.
- It offers a structured pathway for creating sophisticated disease models.
Conclusions:
- The presented methodology serves as a valuable starting point for multiscale infectious disease modeling.
- It provides a framework for further refinement and discussion in the field.
- This structured approach aims to mature the sub-discipline within complexity science.
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