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Necessary and sufficient conditions for exact closures of epidemic equations on configuration model networks.
Kiss, István Z; Kenah, Eben; Rempala, Grzegorz A.
Afiliación
  • Kiss IZ; Department of Mathematics, University of Sussex, Falmer, Brighton, BN1 9QH, UK. istvan.kiss@nulondon.ac.uk.
  • Kenah E; Network Science Institute, Northeastern University London, London, E1W 1LP, UK. istvan.kiss@nulondon.ac.uk.
  • Rempala GA; Division of Biostatistics, College of Public Health and Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, USA.
J Math Biol ; 87(2): 36, 2023 08 02.
Article en En | MEDLINE | ID: mdl-37532967
ABSTRACT
We prove that it is possible to obtain the exact closure of SIR pairwise epidemic equations on a configuration model network if and only if the degree distribution follows a Poisson, binomial, or negative binomial distribution. The proof relies on establishing the equivalence, for these specific degree distributions, between the closed pairwise model and a dynamical survival analysis (DSA) model that was previously shown to be exact. Specifically, we demonstrate that the DSA model is equivalent to the well-known edge-based Volz model. Using this result, we also provide reductions of the closed pairwise and Volz models to a single equation that involves only susceptibles. This equation has a useful statistical interpretation in terms of times to infection. We provide some numerical examples to illustrate our results.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedades Transmisibles / Epidemias Límite: Humans Idioma: En Revista: J Math Biol Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedades Transmisibles / Epidemias Límite: Humans Idioma: En Revista: J Math Biol Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido