PropertyValue
?:abstract
  • We analyze an epidemic model on a network consisting of susceptible-infected-recovered equations at the nodes coupled by diffusion using a graph Laplacian. We introduce an epidemic criterion and examine different isolation strategies: we prove that it is most effective to isolate a node of highest degree. The model is also useful to evaluate deconfinement scenarios and prevent a so-called second wave. The model has few parameters enabling fitting to the data and the essential ingredient of importation of infected; these features are particularly important for the current COVID-19 epidemic.
is ?:annotates of
?:creator
?:doi
?:doi
  • 10.1016/j.physa.2020.125520
?:journal
  • Physica_A
?:license
  • no-cc
?:pdf_json_files
  • document_parses/pdf_json/de7b3bfe0bd13b1a45c2fe465bfdf9c2a1d2fb0e.json
?:pmc_json_files
  • document_parses/pmc_json/PMC7644259.xml.json
?:pmcid
?:pmid
?:pmid
  • 33173253.0
?:publication_isRelatedTo_Disease
?:sha_id
?:source
  • Elsevier; Medline; PMC
?:title
  • Epidemic model on a network: Analysis and applications to COVID-19
?:type
?:year
  • 2020-11-05

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/3jh1swg6>
<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/3jh1swg6>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all