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Calibration of an agent-based simulation model to the data of women infected by Human Papillomavirus with uncertainty

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Calibration of an agent-based simulation model to the data of women infected by Human Papillomavirus with uncertainty

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dc.contributor.author Villanueva Micó, Rafael Jacinto es_ES
dc.contributor.author Hidalgo, J.I. es_ES
dc.contributor.author Cervigon, Carlos es_ES
dc.contributor.author Villanueva-Oller, Javier es_ES
dc.contributor.author Cortés, J.-C. es_ES
dc.date.accessioned 2020-04-17T12:51:54Z
dc.date.available 2020-04-17T12:51:54Z
dc.date.issued 2019 es_ES
dc.identifier.issn 1568-4946 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140966
dc.description.abstract [EN] Recently, the transmission dynamics of the Human Papillomavirus (HPV) has been studied. In previous works, we have designed and implemented a computational model (agent-based simulation model) where the contagion of the HPV is described on a network of lifetime sexual partners. The run of a single simulation of this computational model, composed of a network with 500 000 nodes, takes about one hour and a half. In addition to set an adequate model, finding out the model parameters that best fit the proposed model to the available data of prevalence is a crucial goal. Taking into account that the necessary number of simulations to perform the calibration of the model may be very high, the aforementioned goal may become unaffordable. In this paper, we present a procedure to fit the proposed HPV model to the available data and the design of an asynchronous version of the Particle Swarm Optimization (PSO) algorithm adapted to the distributed computing environment. In the process, the number of particles used in PSO should be set carefully looking for a compromise between quality of the solutions and computation time. Another feature of the procedure presented here is that we want to capture the intrinsic uncertainty in the data (data come from a survey) when calibrating the model. To do so, we also propose the design of an algorithm to select the model parameter sets obtained during the calibration that best capture the data uncertainty. es_ES
dc.description.sponsorship This work has been supported by the Spanish Ministerio de Economia y Competitividad grants MTM2017-89664-P, TIN2014-54806-R and RTI2018-095180-B-I00, Grants Y2018/NMT-4668 (Micro-Stres-MAP-CM) and GenObIA-CM (S2017/BMD-3773) financed by the Community of Madrid, Spain and co-financed with EU Structural Funds, Spain, and by GLENO project financed by Fundacion Eugenio Rodriguez Pascual, Spain. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Applied Soft Computing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject HPV transmission dynamics es_ES
dc.subject Computational random network model es_ES
dc.subject Model calibration es_ES
dc.subject Particle swarm optimization es_ES
dc.subject Uncertainty quantification es_ES
dc.subject Agent-based simulation modeling es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Calibration of an agent-based simulation model to the data of women infected by Human Papillomavirus with uncertainty es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.asoc.2019.04.015 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2014-54806-R/ES/DESARROLLO DE SISTEMAS ADAPTATIVOS Y BIOINSPIRADOS PARA EL CONTROL GLUCEMICO CON INFUSORES SUBCUTANEOS CONTINUOS DE INSULINA Y MONITORES CONTINUOS DE GLUCOSA./ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095180-B-I00/ES/SISTEMA ADAPTATIVO BIOINSPIRADO PARA EL CONTROL GLUCEMICO BASADO EN SENSORES Y ACCESORIOS INTELIGENTES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CAM//Y2018%2FNMT- 4668/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CAM//S2017%2FBMD-3773/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-89664-P/ES/PROBLEMAS DINAMICOS CON INCERTIDUMBRE SIMULABLE: MODELIZACION MATEMATICA, ANALISIS, COMPUTACION 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 Villanueva Micó, RJ.; Hidalgo, J.; Cervigon, C.; Villanueva-Oller, J.; Cortés, J. (2019). Calibration of an agent-based simulation model to the data of women infected by Human Papillomavirus with uncertainty. Applied Soft Computing. 80:546-556. https://doi.org/10.1016/j.asoc.2019.04.015 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.asoc.2019.04.015 es_ES
dc.description.upvformatpinicio 546 es_ES
dc.description.upvformatpfin 556 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 80 es_ES
dc.relation.pasarela S\384418 es_ES
dc.contributor.funder Comunidad de Madrid es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Fundación Eugenio Rodriguez Pascual es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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