The stochastic SEIR model before extinction: computational approaches
dc.contributor.author | Artalejo Rodríguez, Jesús Manuel | |
dc.contributor.author | Economou, A. | |
dc.contributor.author | López Herrero, María Jesús | |
dc.date.accessioned | 2024-03-05T16:25:15Z | |
dc.date.available | 2024-03-05T16:25:15Z | |
dc.date.issued | 2015-08-15 | |
dc.description.abstract | We study a stochastic epidemic model of Susceptible-Exposed-Infective-Removed (SEIR) type and we quantify its behavior during an outbreak. More specifically, we model the epidemic by a continuous-time Markov chain and we develop efficient computational procedures for the distribution of the duration of an outbreak. We also study the evolution of the epidemic before its extinction using the ratio-of-expectations (RE) distribution for the number of individuals in the various classes of the model. The obtained results are illustrated by numerical examples including an application to an outbreak of Marburg hemorrhagic fever | |
dc.description.department | Depto. de Estadística y Ciencia de los Datos | |
dc.description.faculty | Fac. de Estudios Estadísticos | |
dc.description.refereed | TRUE | |
dc.description.sponsorship | Ministerio de Ciencia e Innovación de España | |
dc.description.sponsorship | Comisión Europea | |
dc.description.sponsorship | Universidad Complutense de Madrid | |
dc.description.sponsorship | Banco Santander | |
dc.description.status | pub | |
dc.identifier.citation | Artalejo, Economou y Lopez-Herrero (2015) «The stochastic SEIR model before extinction: Computational approaches», Applied Mathematics and Computation, 265, pp. 1026-1043. doi:10.1016/J.AMC.2015.05.141. | |
dc.identifier.doi | 10.1016/j.amc.2015.05.141 | |
dc.identifier.issn | 0096-3003 | |
dc.identifier.officialurl | https://doi.org/10.1016/j.amc.2015.05.141 | |
dc.identifier.relatedurl | https://www.sciencedirect.com/science/article/pii/S0096300315007729?via%3Dihub | |
dc.identifier.uri | https://hdl.handle.net/20.500.14352/101973 | |
dc.journal.title | Applied Mathematics and Computation | |
dc.language.iso | eng | |
dc.page.final | 1043 | |
dc.page.initial | 1026 | |
dc.publisher | Elsevier | |
dc.relation.projectID | MTM 2011–23864 | |
dc.relation.projectID | UCM910211 | |
dc.relation.projectID | 2014-GR3/14 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject.cdu | 519.22-76 | |
dc.subject.cdu | 616-036.22 | |
dc.subject.cdu | 519.217 | |
dc.subject.cdu | 519.216 | |
dc.subject.keyword | Stochastic SEIR epidemic model | |
dc.subject.keyword | Extinction time | |
dc.subject.keyword | Ratio-of-expectations distribution | |
dc.subject.ucm | Procesos estocásticos | |
dc.subject.ucm | Enfermedades infecciosas | |
dc.subject.unesco | 3212 Salud Publica | |
dc.subject.unesco | 2404.01 Bioestadística | |
dc.subject.unesco | 1208.06 Procesos de Markov | |
dc.subject.unesco | 3202 Epidemiología | |
dc.title | The stochastic SEIR model before extinction: computational approaches | |
dc.type | journal article | |
dc.type.hasVersion | VoR | |
dc.volume.number | 265 | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | db4b8a04-44b0-48e9-8b2c-c80ffae94799 | |
relation.isAuthorOfPublication | 64a702cc-f8f5-468f-baeb-e37e92492a68 | |
relation.isAuthorOfPublication.latestForDiscovery | db4b8a04-44b0-48e9-8b2c-c80ffae94799 |
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