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dc.contributor.author
Capanna, Monia
dc.date.available
2021-07-15T18:38:08Z
dc.date.issued
2019-12
dc.identifier.citation
Capanna, Monia; Critical Asymptotic Behaviour in the SIR model; Polymat Publishing Company; Markov Processes And Related Fields; 25; 5; 12-2019; 763-796
dc.identifier.issn
1024-2953
dc.identifier.uri
http://hdl.handle.net/11336/136258
dc.description.abstract
This article is devoted to the analysis of a particle system model for epidemics among a finite population with susceptible, infective and removed individuals (SIR). The infection mechanism depends on the relative distance between susceptibles and infected so that an infected individual is more likely to infect nearby sites than those further away. For fixed time, we prove that the density fields weakly converge to the solution of a PDE´s system, as the number of particles increases. We find an implicit expression for the final survivor density of the limit equation and we analyze the asymptotics of the microscopic system, by taking first the time and after the number of particles to infinity, showing a critical behaviour for some values of the parameters when the system is set in the mean field regime.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Polymat Publishing Company
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
INFECTION MODEL
dc.subject
INTERACTING PARTICLE SYSTEM
dc.subject
HYDRODYNAMIC LIMIT
dc.subject
ASYMPTOTIC ANALYSIS
dc.subject.classification
Estadística y Probabilidad
dc.subject.classification
Matemáticas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Critical Asymptotic Behaviour in the SIR model
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-11-27T18:09:33Z
dc.journal.volume
25
dc.journal.number
5
dc.journal.pagination
763-796
dc.journal.pais
Rusia
dc.journal.ciudad
Moscow
dc.description.fil
Fil: Capanna, Monia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina
dc.journal.title
Markov Processes And Related Fields
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://math-mprf.org/journal/articles/id1557/
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1708.03905
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