Mostrar el registro sencillo del ítem
dc.contributor.author | Cantó Colomina, Begoña | es_ES |
dc.contributor.author | Coll, Carmen | es_ES |
dc.contributor.author | Sánchez, Elena | es_ES |
dc.date.accessioned | 2018-05-21T04:19:05Z | |
dc.date.available | 2018-05-21T04:19:05Z | |
dc.date.issued | 2017 | es_ES |
dc.identifier.issn | 1687-1839 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/102302 | |
dc.description.abstract | [EN] In this paper, an age-structured epidemiological process is considered. The disease model is based on a SIR model with unknown parameters. We addressed two important issues to analyzing the model and its parameters. One issue is concerned with the theoretical existence of unique solution, the identifiability problem. The second issue is how to estimate the parameters in the model. We propose an iterative algorithm to study the identifiability of the system and a method to estimate the parameters which are identifiable. A least squares approach based on a finite set of observations helps us to estimate the initial values of the parameters. Finally, we test the proposed algorithms. | es_ES |
dc.description.sponsorship | The authors would like to thank the referees and the editor for their comments and useful suggestions for improvement of the manuscript. This work has been partially supported by Spanish Grant MTM2013-43678-P. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Springer (Biomed Central Ltd.) | es_ES |
dc.relation.ispartof | Advances in Difference Equations | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Epidemic process | es_ES |
dc.subject | Mathematical modeling | es_ES |
dc.subject | Parameter estimation | es_ES |
dc.subject | Identifiability | es_ES |
dc.subject | Discrete-time system | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | Estimation of parameters in a structured SIR model | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1186/s13662-017-1078-5 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//MTM2013-43678-P/ES/ANALISIS DE MODELOS MATEMATICOS CON COEFICIENTES MATRICIALES: FUNDAMENTOS TEORICOS Y APLICACIONES/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.description.bibliographicCitation | Cantó Colomina, B.; Coll, C.; Sánchez, E. (2017). Estimation of parameters in a structured SIR model. Advances in Difference Equations. 33:1-13. https://doi.org/10.1186/s13662-017-1078-5 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1186/s13662-017-1078-5 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 13 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 33 | es_ES |
dc.relation.pasarela | S\326323 | es_ES |
dc.contributor.funder | Ministerio de Economía, Industria y Competitividad | es_ES |
dc.description.references | Strogatz, S, Friedman, M, Mallinck-Rodt, AJ, McKay, S: Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering. Perseus Books, Washington (1994) | es_ES |
dc.description.references | De La Sen, M, Quesada, A: Some equilibrium, stability, instability and oscillatory results for an extended discrete epidemic model with evolution memory. Adv. Differ. Equ. 2013, 234 (2013) | es_ES |
dc.description.references | Han, Q, Wang, Z: On extinction of infectious diseases for multi-group SIRS models with satured incidence rate. Adv. Differ. Equ. 2015, 333 (2015) | es_ES |
dc.description.references | Cantó, B, Coll, C, Sánchez, E: Structural identifiability of a model of dialysis. Math. Comput. Model. 50, 733-737 (2009) | es_ES |
dc.description.references | Cantó, B, Coll, C, Sánchez, E: Identifiability of a class of discretized linear partial differential algebraic equations. Math. Probl. Eng., 1-12 (2011) | es_ES |
dc.description.references | Craciun, G, Pantea, C: Identifiability of chemical reaction networks. J. Math. Chem. 44, 244-259 (2008) | es_ES |
dc.description.references | Malik, MB, Salman, M: State-space least mean square. Digit. Signal Process. 18, 334-345 (2008) | es_ES |
dc.description.references | Ding, F, Liu, PX, Liu, G: Multiinnovatiovation least-squares identification for system modeling. IEEE Trans. Syst. Man Cybern., Part B, Cybern. 18(3), 767-778 (2010) | es_ES |
dc.description.references | Ben-Zvi, A, McLellan, PJ, McAuley, KB: Identifiability of linear time-invariant differential-algebraic systems, I. The generalized Markov parameter approach. Ind. Eng. Chem. Res. 42, 6607-6618 (2003) | es_ES |
dc.description.references | Boyadjiev, C, Dimitrova, E: An iterative method for model parameter identification. Comput. Chem. Eng. 29, 941-948 (2005) | es_ES |
dc.description.references | Ben-Zvi, A, McLellan, PJ, McAuley, KB: Identifiability of linear time-invariant differential-algebraic systems, 2. The differential-algebraic approach. Ind. Eng. Chem. Res. 43, 1251-1259 (2004) | es_ES |
dc.description.references | Dion, JM, Commault, C, van der Woude, J: Generic properties and control of linear structured systems: a survey. Automatica 39, 1125-1144 (2003) | es_ES |
dc.description.references | Chou, IC, Voit, EO: Recent developments in parameter estimation and structure identification of biochemical and genomic systems. Math. Biosci. 219, 57-83 (2009) | es_ES |
dc.description.references | Schmitz, OJ: Ecology and Ecosystems Conservation. Island Press, Washington (2013) | es_ES |