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Scaling of agent-based models to evaluate transmission risks of infectious diseases
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Thomas, Peter J. and Marvell, Aidan (2023) Scaling of agent-based models to evaluate transmission risks of infectious diseases. Scientific Reports, 13 . 75. doi:10.1038/s41598-022-26552-w ISSN 2045-2322.
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Official URL: http://dx.doi.org/10.1038/s41598-022-26552-w
Abstract
The scaling behaviour of agent-based computational models, to evaluate transmission risks of infectious diseases, is addressed. To this end we use an existing computational code, made available in the public domain by its author, to analyse the system dynamics from a general perspective. The goal being to obtain deeper insight into the system behaviour than can be obtained from considering raw data alone. The data analysis collapses the output data for infection numbers and leads to closed-form expressions for the results. It is found that two parameters are sufficient to summarize the system development and the scaling of the data. One of the parameters characterizes the overall system dynamics. It represents a scaling factor for time when expressed in iteration steps of the computational code. The other parameter identifies the instant when the system adopts its maximum infection rate. The data analysis methodology presented constitutes a means for a quantitative intercomparison of predictions for infection numbers, and infection dynamics, for data produced by different models and can enable a quantitative comparison to real-world data.
Item Type: | Journal Article | ||||||
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Subjects: | Q Science > QA Mathematics Q Science > QC Physics R Medicine > RA Public aspects of medicine |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Library of Congress Subject Headings (LCSH): | Communicable diseases -- Mathematical models, Infection, COVID-19 (Disease), Reaction-diffusion equations, Scaling laws (Statistical physics), Spatial ecology | ||||||
Journal or Publication Title: | Scientific Reports | ||||||
Publisher: | Nature Publishing Group | ||||||
ISSN: | 2045-2322 | ||||||
Official Date: | 2 January 2023 | ||||||
Dates: |
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Volume: | 13 | ||||||
Article Number: | 75 | ||||||
DOI: | 10.1038/s41598-022-26552-w | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 6 January 2023 | ||||||
Date of first compliant Open Access: | 9 January 2023 |
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