Percolation methods for SEIR epidemics on graphs

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We review several connections between percolation and SEIR epidemic models. In the first part we analyze the role of percolation in representing or approximating an epidemic model; in the second part we discuss the role of percolation in modelling the random networks on which the spread of the infectious diseases takes place. At the end, we propose a class of models which are mathematically treatable and at the same time incorporate most of the desirable features of epidemic modelling.

Original languageEnglish (US)
Title of host publicationDynamic Models of Infectious Diseases
Subtitle of host publicationVolume 2: Non Vector-Borne Diseases
PublisherSpringer New York
Pages31-58
Number of pages28
ISBN (Electronic)9781461492245
ISBN (Print)9781461492238
DOIs
StatePublished - Jan 1 2013

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

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  • Cite this

    Gandolfi, A. (2013). Percolation methods for SEIR epidemics on graphs. In Dynamic Models of Infectious Diseases: Volume 2: Non Vector-Borne Diseases (pp. 31-58). Springer New York. https://doi.org/10.1007/978-1-4614-9224-5_2