ArticlePLoS computational biology2020
The research and development process for multiscale models of infectious disease systems.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Immune digital twins for complex human pathologies: applications, limitations, and challenges.NPJ systems biology and applications · 2024Review
- Quantifying the relationship between within-host dynamics and transmission for viral diseases of livestock.Journal of the Royal Society, Interface · 2024Article
- The transmission mechanism theory of disease dynamics: Its aims, assumptions and limitations.Infectious Disease Modelling · 2023Article
- Scenario prediction of public health emergencies using infectious disease dynamics model and dynamic Bayes.Future generations computer systems : FGCS · 2022Article
- Multiscale modeling in disease.Current opinion in systems biology · 2021Article
- Rationale and Criteria for a COVID-19 Model Framework.Viruses · 2021Article
- An Embedded Multiscale Modelling to Guide Control and Elimination of Paratuberculosis in Ruminants.Computational and mathematical methods in medicine · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
Multiscale modelling of infectious disease systems falls within the domain of complexity science-the study of complex systems. However, what should be made clear is that current progress in multiscale modelling of infectious disease dynamics is still as yet insufficient to present it as a mature sub-discipline of complexity science. In this article we present a methodology for development of multiscale models of infectious disease systems. This methodology is a set of partially ordered research and development activities that result in multiscale models of infectious disease systems built from different scientific approaches. Therefore, the conclusive result of this article is a methodology to design multiscale models of infectious diseases. Although this research and development process for multiscale models cannot be claimed to be unique and final, it constitutes a good starting point, which may be found useful as a basis for further refinement in the discourse for multiscale modelling of infectious disease dynamics.
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Registered trials
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