Epidemic transmission on SEIR stochastic models with nonlinear incidence rate

Our interest is to quantify the spread of an infective process with latency period and generic incidence rate that takes place in a Önite and homogeneous population. Within a stochastic framework, two random variables are deÖned to describe the variations of the number of secondary cases produced by...

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Detalles Bibliográficos
Autor: López Herrero, María Jesús
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/18200
Acceso en línea:https://hdl.handle.net/20.500.14352/18200
Access Level:acceso abierto
Palabra clave:519.216
57.087.1
Nonlinear incidence rate
Stochastic SEIR epidemic model
Index case
Secondary cases
Estadística
Análisis Multivariante
Medicina
1209 Estadística
1209.09 Análisis Multivariante
32 Ciencias Médicas
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oai_identifier_str oai:docta.ucm.es:20.500.14352/18200
network_acronym_str ES
network_name_str España
repository_id_str
spelling Epidemic transmission on SEIR stochastic models with nonlinear incidence rateLópez Herrero, María Jesús519.21657.087.1Nonlinear incidence rateStochastic SEIR epidemic modelIndex caseSecondary casesEstadísticaAnálisis MultivarianteMedicina1209 Estadística1209.09 Análisis Multivariante32 Ciencias MédicasOur interest is to quantify the spread of an infective process with latency period and generic incidence rate that takes place in a Önite and homogeneous population. Within a stochastic framework, two random variables are deÖned to describe the variations of the number of secondary cases produced by an index case inside of a closed population. Computational algorithms are presented in order to characterize both random variables. Finally, theoretical and algorithmic results are illustrated by several numerical examples.Wolfgang SprößigUniversidad Complutense de Madrid20162016-10-0420162016-10-04journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/18200reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/182002026-06-02T12:44:21Z
dc.title.none.fl_str_mv Epidemic transmission on SEIR stochastic models with nonlinear incidence rate
title Epidemic transmission on SEIR stochastic models with nonlinear incidence rate
spellingShingle Epidemic transmission on SEIR stochastic models with nonlinear incidence rate
López Herrero, María Jesús
519.216
57.087.1
Nonlinear incidence rate
Stochastic SEIR epidemic model
Index case
Secondary cases
Estadística
Análisis Multivariante
Medicina
1209 Estadística
1209.09 Análisis Multivariante
32 Ciencias Médicas
title_short Epidemic transmission on SEIR stochastic models with nonlinear incidence rate
title_full Epidemic transmission on SEIR stochastic models with nonlinear incidence rate
title_fullStr Epidemic transmission on SEIR stochastic models with nonlinear incidence rate
title_full_unstemmed Epidemic transmission on SEIR stochastic models with nonlinear incidence rate
title_sort Epidemic transmission on SEIR stochastic models with nonlinear incidence rate
dc.creator.none.fl_str_mv López Herrero, María Jesús
author López Herrero, María Jesús
author_facet López Herrero, María Jesús
author_role author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 519.216
57.087.1
Nonlinear incidence rate
Stochastic SEIR epidemic model
Index case
Secondary cases
Estadística
Análisis Multivariante
Medicina
1209 Estadística
1209.09 Análisis Multivariante
32 Ciencias Médicas
topic 519.216
57.087.1
Nonlinear incidence rate
Stochastic SEIR epidemic model
Index case
Secondary cases
Estadística
Análisis Multivariante
Medicina
1209 Estadística
1209.09 Análisis Multivariante
32 Ciencias Médicas
description Our interest is to quantify the spread of an infective process with latency period and generic incidence rate that takes place in a Önite and homogeneous population. Within a stochastic framework, two random variables are deÖned to describe the variations of the number of secondary cases produced by an index case inside of a closed population. Computational algorithms are presented in order to characterize both random variables. Finally, theoretical and algorithmic results are illustrated by several numerical examples.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-10-04
2016
2016-10-04
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/18200
url https://hdl.handle.net/20.500.14352/18200
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wolfgang Sprößig
publisher.none.fl_str_mv Wolfgang Sprößig
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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