Epidemic thresholds in SIR and SIIR models applying an algorithmic method

dc.contributorUniversidad EAFIT. Departamento de Ciencias
dc.contributorLógica y Computación
dc.creatorHincapié P., D.
dc.creatorOspina G., J.
dc.creatorAfuwape, A.U.
dc.creatorGómez A., R.D.
dc.creatorHincapié P., D.
dc.creatorOspina G., J.
dc.creatorAfuwape, A.U.
dc.creatorGómez A., R.D.
dc.date.accessioned2021-03-26T21:35:20Z
dc.date.accessioned2022-09-23T21:53:00Z
dc.date.available2021-03-26T21:35:20Z
dc.date.available2022-09-23T21:53:00Z
dc.date.created2021-03-26T21:35:20Z
dc.date.issued2008-01-01
dc.identifier03029743
dc.identifier16113349
dc.identifierWOS;000262507600012
dc.identifierSCOPUS;2-s2.0-58549087931
dc.identifierhttp://hdl.handle.net/10784/27406
dc.identifier10.1007/978-3-540-89746-0_12
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3535663
dc.description.abstractEpidemic thresholds were deduced and simulated from SIR models of Susceptible - Infected - Recovered individuals, through local stability analysis of the disease free and endemic equilibrium, with an algorithmic method. One and two types of infected individuals were modeled, considering the influence of sub clinical, undiagnosed or unrecognized infected cases in disease transmission. © 2008 Springer Berlin Heidelberg.
dc.languageeng
dc.publisherSPRINGER
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-58549087931&doi=10.1007%2f978-3-540-89746-0_12&partnerID=40&md5=277fc3e8825c067a1a706ac4bd27d39f
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/0302-9743
dc.sourceLecture Notes In Computer Science
dc.titleEpidemic thresholds in SIR and SIIR models applying an algorithmic method
dc.typeinfo:eu-repo/semantics/conferencePaper
dc.typeconferencePaper
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typepublishedVersion


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