Evolving the Curve
Date
Authors
Dube, Michael
Houghten, Sheridan
Ashlock, Daniel
Hughes, James Alexander
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Volume Title
Publisher
IEEE
Abstract
Evolutionary algorithms are used to generate personal contact networks, modelling human populations, that are most likely to match a given epidemic profile. The Susceptible-Infected-Removed (SIR) model is used and also expanded upon to allow for an extended period of infection, termed the SIIR model. The networks generated for each of these models are thoroughly evaluated for their ability to match nine different epidemic profiles. The addition of the SIIR model showed that the model of infection has an impact on the networks generated. For the SIR and SIIR models, these differences were relatively minor in most cases.
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Citation
M. Dubé, S. Houghten, D. Ashlock and J. A. Hughes, "Evolving the Curve," 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2020, pp. 1-8, doi: 10.1109/CIBCB48159.2020.9277720.