tetano
Editor, Senior Moderator
Nat Commun
. 2020 Nov 4;11(1):5576.
doi: 10.1038/s41467-020-19024-0.
Effects of social distancing and isolation on epidemic spreading modeled via dynamical density functional theory
Michael Te Vrugt[SUP] 1 [/SUP], Jens Bickmann[SUP] 1 [/SUP], Raphael Wittkowski[SUP] 2 [/SUP]
Affiliations
Abstract
For preventing the spread of epidemics such as the coronavirus disease COVID-19, social distancing and the isolation of infected persons are crucial. However, existing reaction-diffusion equations for epidemic spreading are incapable of describing these effects. In this work, we present an extended model for disease spread based on combining a susceptible-infected-recovered model with a dynamical density functional theory where social distancing and isolation of infected persons are explicitly taken into account. We show that the model exhibits interesting transient phase separation associated with a reduction of the number of infections, and allows for new insights into the control of pandemics.
. 2020 Nov 4;11(1):5576.
doi: 10.1038/s41467-020-19024-0.
Effects of social distancing and isolation on epidemic spreading modeled via dynamical density functional theory
Michael Te Vrugt[SUP] 1 [/SUP], Jens Bickmann[SUP] 1 [/SUP], Raphael Wittkowski[SUP] 2 [/SUP]
Affiliations
- PMID: 33149128
- DOI: 10.1038/s41467-020-19024-0
Abstract
For preventing the spread of epidemics such as the coronavirus disease COVID-19, social distancing and the isolation of infected persons are crucial. However, existing reaction-diffusion equations for epidemic spreading are incapable of describing these effects. In this work, we present an extended model for disease spread based on combining a susceptible-infected-recovered model with a dynamical density functional theory where social distancing and isolation of infected persons are explicitly taken into account. We show that the model exhibits interesting transient phase separation associated with a reduction of the number of infections, and allows for new insights into the control of pandemics.