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Sensitivity Analysis of Markovian Exact Reproduction Numbers

dc.conference.date3-6 Jul 2023
dc.conference.placeAtenas, Grecia
dc.conference.titleInternational Conference of Computational Science and Its Applications (ICCSA 2023)
dc.contributor.authorGamboa Pérez, María
dc.date.accessioned2024-02-28T10:23:15Z
dc.date.available2024-02-28T10:23:15Z
dc.date.issued2023
dc.description.abstractIn this investigation a sensitivity analysis is presented by computing the partial derivatives and elasticities of several summary statistics with respect to parameters of the exact reproduction numbers, Re0 and Rp, for the stochastic SVIS model with an external source of infection and imperfect vaccine. These epidemic quantifiers are significant improvements over the basic reproductive number, R0, to study the potential transmission of an epidemic under a stochastic approach. Our research provides theoretical and algorithmic results for understanding the impact of vaccination strategies on the spread of epidemics. We provide efficient tools to evaluate the importance of each model parameters in the propagation of the pathogen which have significant implications for public health policies aimed at controlling and preventing infectious disease outbreaks. We illustrate our methodology in the context of the transmission of the diphtheria virus.
dc.description.departmentDepto. de Estadística y Ciencia de los Datos
dc.description.facultyFac. de Estudios Estadísticos
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationGamboa, M., Lopez-Herrero, M.J. (2023). Sensitivity Analysis of Markovian Exact Reproduction Numbers. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023. ICCSA 2023. Lecture Notes in Computer Science, vol 13956 . Springer, Cham. https://doi.org/10.1007/978-3-031-36805-9_13
dc.identifier.doi10.1007/978-3-031-36805-9_13
dc.identifier.isbn978-3-031-36807-3
dc.identifier.officialurlhttps://iccsa.org/
dc.identifier.relatedurlhttps://doi.org/10.1007/978-3-031-36805-9_13
dc.identifier.urihttps://hdl.handle.net/20.500.14352/101800
dc.language.isoeng
dc.page.final200
dc.page.initial186
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsrestricted access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu519.217
dc.subject.cdu616-036.22
dc.subject.keywordStochastic epidemic model
dc.subject.keywordBasic reproduction number
dc.subject.keywordPerturbation problem
dc.subject.keywordImperfect vaccine
dc.subject.ucmProcesos estocásticos
dc.subject.ucmEnfermedades infecciosas
dc.subject.unesco1208.08 Procesos Estocásticos
dc.subject.unesco3202 Epidemiología
dc.titleSensitivity Analysis of Markovian Exact Reproduction Numbers
dc.typeconference paper
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublicationb58f02de-ea0e-4b3f-b0db-41b582b5b264
relation.isAuthorOfPublication.latestForDiscoveryb58f02de-ea0e-4b3f-b0db-41b582b5b264

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