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dc.contributor.authorSebrango-Rodriguez, C. R.-
dc.contributor.authorMartinez-Bello, D. A.-
dc.contributor.authorSanchez-Valdes, L.-
dc.contributor.authorThilakarathne, P. J.-
dc.contributor.authorDEL FAVA, Emanuele-
dc.contributor.authorVan Der Stuyft, P.-
dc.contributor.authorLopez-Quilez, A.-
dc.contributor.authorSHKEDY, Ziv-
dc.identifier.citationEPIDEMIOLOGY AND INFECTION, 145(11), p. 2313-2323-
dc.description.abstractEarly prediction of the final size of any epidemic and in particular for Zika disease outbreaks can be useful for health authorities in order to plan the response to the outbreak. The Richards model is often been used to estimate epidemiological parameters for arboviral diseases based on the reported cumulative cases in single-and multi-wave outbreaks. However, other non-linear models can also fit the data as well. Typically, one follows the so called post selection estimation procedure, i.e., selects the best fitting model out of the set of candidate models and ignores the model uncertainty in both estimation and inference since these procedures are based on a single model. In this paper we focus on the estimation of the final size and the turning point of the epidemic and conduct a real-time prediction for the final size of the outbreak using several nonlinear models in which these parameters are estimated via model averaging. The proposed method is applied to Zika outbreak data in four cities from Colombia, during the outbreak ocurred in 2015-2016.-
dc.description.sponsorshipThis research received no specific grant from any funding agency, commercial or not-for-profit sectors. D.A. Martinez Bello acknowledges the support of COLCIENCIAS by the grant 646-2014.-
dc.rights© Cambridge University Press 2017-
dc.subject.otherFive-parameter logistic; four-parameter Gompertz; Richards; three-parameter logistic; Weibull-
dc.subject.otherfive-parameter logistic; four-parameter Gompertz; Richards; three-parameter logistic; Weibull-
dc.titleReal-time parameter estimation of Zika outbreaks using model averaging-
dc.typeJournal Contribution-
dc.description.notes[Sebrango-Rodriguez, C. R.; Sanchez-Valdes, L.] Univ Sancti Spiritus Jose Marti Perez, Ave Martires 360, Sancti Spiritus, Cuba. [Sebrango-Rodriguez, C. R.; Shkedy, Z.] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat I BioSt, Agoralaan,Bldg D, B-3590 Diepenbeek, Belgium. [Martinez-Bello, D. A.; Lopez-Quilez, A.] Univ Valencia, Fac Math, Dept Stat & Operat Res, C Dr Moliner 50, E-46100 Valencia, Spain. [Sanchez-Valdes, L.] Ctr Inmunol Mol, Calle 16 Esq 15 Atabey, Havana, Cuba. [Thilakarathne, P. J.] Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat, Kapucijnenvoer 35,Blok D,Box 7001, B-3000 Leuven, Belgium. [Del Fava, E.] Bocconi Univ, Carlo F Dondena Ctr Res Social Dynam, Via Guglielmo Rontgen 1, I-20136 Milan, Italy. [Van Der Stuyft, P.] Inst Trop Med, Unit Gen Epidemiol & Dis Control, Antwerp, Belgium. [Van Der Stuyft, P.] Univ Ghent, Dept Publ Hlth, Ghent, Belgium.-
local.publisher.placeNEW YORK-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
item.fullcitationSebrango-Rodriguez, C. R.; Martinez-Bello, D. A.; Sanchez-Valdes, L.; Thilakarathne, P. J.; DEL FAVA, Emanuele; Van Der Stuyft, P.; Lopez-Quilez, A. & SHKEDY, Ziv (2017) Real-time parameter estimation of Zika outbreaks using model averaging. In: EPIDEMIOLOGY AND INFECTION, 145(11), p. 2313-2323.-
item.validationecoom 2018-
item.contributorSebrango-Rodriguez, C. R.-
item.contributorMartinez-Bello, D. A.-
item.contributorSanchez-Valdes, L.-
item.contributorThilakarathne, P. J.-
item.contributorDEL FAVA, Emanuele-
item.contributorVan Der Stuyft, P.-
item.contributorLopez-Quilez, A.-
item.contributorSHKEDY, Ziv-
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