PropertyValue
?: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.
is ?:annotates of
?:creator
?:journal
  • Nat_Commun
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • Effects of social distancing and isolation on epidemic spreading modeled via dynamical density functional theory
?:type
?:who_covidence_id
  • #910350
?:year
  • 2020

Metadata

Anon_0  
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/net/provenance/ns#DataItem>
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.w3.org/2004/03/trix/rdfg-1/Graph>
<http://xmlns.com/foaf/0.1/primaryTopic> <https://research.tib.eu/covid-19/entity/56z457ir>
<http://xmlns.com/foaf/0.1/topic> Anon_0
<http://www.ontologydesignpatterns.org/cp/owl/informationrealization.owl#realizes> <https://research.tib.eu/covid-19/data/entity/56z457ir>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all