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dc.contributor.authorHess, s.
dc.contributor.authorLancsar, E.
dc.contributor.authorMariel Chladkova, Petr ORCID
dc.contributor.authorMeyerhoff, J.
dc.contributor.authorSong, F.
dc.contributor.authorvan den Broek-Altenburg, E.
dc.contributor.authorAmaris, G.
dc.contributor.authorAlaba, O. A.
dc.contributor.authorArellana, J.
dc.contributor.authorBasso, L. J.
dc.contributor.authorBenson, J.
dc.contributor.authorBravo-Moncayo, L.
dc.contributor.authorChanel, O.
dc.contributor.authorChoi, S.
dc.contributor.authorCrastes dit Sourd, R.
dc.contributor.authorCybis, H. B.
dc.contributor.authorDorner, Z.
dc.contributor.authorFalco, P.
dc.contributor.authorGarzón-Pérez, L.
dc.contributor.authorGlass, K.
dc.contributor.authorHuang, Z.
dc.contributor.authorGuzman, L. A.
dc.contributor.authorHuynh, E.
dc.contributor.authorKim, B.
dc.contributor.authorKonstantinus, A.
dc.contributor.authorKonstantinus, I.
dc.contributor.authorLarranaga, A. M.
dc.contributor.authorLongo, A.
dc.contributor.authorLoo, B. P. Y.
dc.contributor.authorOehlmann, M.
dc.contributor.authorSanz, M. J.
dc.contributor.authorSarmiento, O. L.
dc.contributor.authorO'Neill, V.
dc.contributor.authorde Dios Ortúzar, J.
dc.contributor.authorMoyo, H. T.
dc.contributor.authorTucker, S.
dc.contributor.authorWang, Y.
dc.contributor.authorZhang, J.
dc.contributor.authorWebb, E. J. D.
dc.contributor.authorZuidgeest, M. H. P.
dc.date.accessioned2023-08-30T11:45:14Z
dc.date.available2023-08-30T11:45:14Z
dc.date.issued2022-04-01
dc.identifier.citationSocial Science and Medicine: 298: 114800 (2022)es_ES
dc.identifier.urihttp://hdl.handle.net/10810/62289
dc.description.sponsorshipES FEDER/Ministry of Science, Innovation and Universities through grant PID2020-113650RB-I00 ; Basque Government through grant IT1359-19 ( UPV/EHU Econometrics Research Group ); BERC 2018–2021 programme; MICINN María de Maeztu excellence accreditation ( MDM-2017-0714 ). CN Chinese National Natural Science Foundation ( 72071017 ), the joint project of the National Natural Science Foundation of China and the Joint Programming Initiative Urban Europe ( NSFC – JPI UE ) ( ‘U-PASS’, 71961137005 ).es_ES
dc.language.isoenges_ES
dc.publisherSocial Science and Medicinees_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.titleThe path towards herd immunity: Predicting COVID-19 vaccination uptake through results from a stated choice study across six continentses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2022 The Authors.es_ES
dc.rights.holderAtribución-NoComercial-CompartirIgual 3.0 España*
dc.relation.publisherversionhttps://dx.doi.org/10.1016/j.socscimed.2022.114800es_ES
dc.identifier.doi10.1016/j.socscimed.2022.114800
dc.contributor.funderAix-Marseille University -
dc.contributor.funderBERC
dc.contributor.funderChoice Modelling Centre
dc.contributor.funderRobbie Maris
dc.contributor.funderCMC
dc.contributor.funderEHU
dc.contributor.funderJoint Programming Initiative Urban Europe
dc.contributor.funderMinistry of Science, Innovation and Universitie
dc.contributor.funderEuropean Research Council
dc.contributor.funderNational Natural Science Foundation of China
dc.contributor.funderSeoul National University
dc.contributor.funderBasque Government
dc.contributor.funderFEDER
dc.contributor.funderInstituto Sistemas Complejos de Ingenier?a


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