Effects of social distancing and isolation on epidemic spreading: a dynamical density functional theory model

Autor:	Vrugt, Michael te, Bickmann, Jens, Wittkowski, Raphael
Rok vydání:	2020
Předmět:	Quantitative Biology - Populations and Evolution Physics - Biological Physics Physics - Physics and Society
Zdroj:	Nature Communications 11, 5576 (2020)
Druh dokumentu:	Working Paper
DOI:	10.1038/s41467-020-19024-0
Popis:	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. We present an extended model for disease spread based on combining an SIR model with a dynamical density functional theory where social distancing and isolation of infected persons are explicitly taken into account. The model shows interesting nonequilibrium phase separation associated with a reduction of the number of infections, and allows for new insights into the control of pandemics. Comment: 9 pages, 3 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2003.13967 Zobrazit plný text záznamu View this record from Arxiv