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Title: Using active matter to introduce spatial heterogeneity to the susceptible infected recovered model of epidemic spreading

Abstract

Abstract The widely used susceptible-infected-recovered (S-I-R) epidemic model assumes a uniform, well-mixed population, and incorporation of spatial heterogeneities remains a major challenge. Understanding failures of the mixing assumption is important for designing effective disease mitigation approaches. We combine a run-and-tumble self-propelled active matter system with an S-I-R model to capture the effects of spatial disorder. Working in the motility-induced phase separation regime both with and without quenched disorder, we find two epidemic regimes. For low transmissibility, quenched disorder lowers the frequency of epidemics and increases their average duration. For high transmissibility, the epidemic spreads as a front and the epidemic curves are less sensitive to quenched disorder; however, within this regime it is possible for quenched disorder to enhance the contagion by creating regions of higher particle densities. We discuss how this system could be realized using artificial swimmers with mobile optical traps operated on a feedback loop.

Authors:
; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1874849
Grant/Contract Number:  
892333218NCA000001
Resource Type:
Published Article
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Name: Scientific Reports Journal Volume: 12 Journal Issue: 1; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Forgács, P., Libál, A., Reichhardt, C., Hengartner, N., and Reichhardt, C. J. O. Using active matter to introduce spatial heterogeneity to the susceptible infected recovered model of epidemic spreading. United Kingdom: N. p., 2022. Web. doi:10.1038/s41598-022-15223-5.
Forgács, P., Libál, A., Reichhardt, C., Hengartner, N., & Reichhardt, C. J. O. Using active matter to introduce spatial heterogeneity to the susceptible infected recovered model of epidemic spreading. United Kingdom. https://doi.org/10.1038/s41598-022-15223-5
Forgács, P., Libál, A., Reichhardt, C., Hengartner, N., and Reichhardt, C. J. O. Mon . "Using active matter to introduce spatial heterogeneity to the susceptible infected recovered model of epidemic spreading". United Kingdom. https://doi.org/10.1038/s41598-022-15223-5.
@article{osti_1874849,
title = {Using active matter to introduce spatial heterogeneity to the susceptible infected recovered model of epidemic spreading},
author = {Forgács, P. and Libál, A. and Reichhardt, C. and Hengartner, N. and Reichhardt, C. J. O.},
abstractNote = {Abstract The widely used susceptible-infected-recovered (S-I-R) epidemic model assumes a uniform, well-mixed population, and incorporation of spatial heterogeneities remains a major challenge. Understanding failures of the mixing assumption is important for designing effective disease mitigation approaches. We combine a run-and-tumble self-propelled active matter system with an S-I-R model to capture the effects of spatial disorder. Working in the motility-induced phase separation regime both with and without quenched disorder, we find two epidemic regimes. For low transmissibility, quenched disorder lowers the frequency of epidemics and increases their average duration. For high transmissibility, the epidemic spreads as a front and the epidemic curves are less sensitive to quenched disorder; however, within this regime it is possible for quenched disorder to enhance the contagion by creating regions of higher particle densities. We discuss how this system could be realized using artificial swimmers with mobile optical traps operated on a feedback loop.},
doi = {10.1038/s41598-022-15223-5},
journal = {Scientific Reports},
number = 1,
volume = 12,
place = {United Kingdom},
year = {Mon Jul 04 00:00:00 EDT 2022},
month = {Mon Jul 04 00:00:00 EDT 2022}
}

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