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Red deer reveal spatial risks of Crimean-Congo haemorrhagic fever virus infection

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dc.contributor.authorCuadrado-Matías, Raúl
dc.contributor.authorCardoso, Beatriz
dc.contributor.authorSas, Miriam A
dc.contributor.authorGarcía-Bocanegra, Ignacio
dc.contributor.authorSchuster, Isolde
dc.contributor.authorGonzalez-Barrio, David
dc.contributor.authorReiche, Sven
dc.contributor.authorMertens, Marc
dc.contributor.authorCano-Terriza, David
dc.contributor.authorCasades-Martí, Laia
dc.contributor.authorJiménez-Ruiz, Saúl
dc.contributor.authorMartínez-Guijosa, Jordi
dc.contributor.authorFierro, Yolanda
dc.contributor.authorGómez-Guillamón, Félix
dc.contributor.authorGortázar, Christian
dc.contributor.authorAcevedo, Pelayo
dc.contributor.authorGroschup, Martin H
dc.contributor.authorRuiz-Fons, Francisco
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es_ES
dc.contributor.funderRegional Government of Castile-La Mancha (España)es_ES
dc.contributor.funderUnión Europea. Fondo Social Europeo (ESF/FSE)es_ES
dc.contributor.funderUniversity of Castilla-La Mancha (España)es_ES
dc.contributor.funderFundação para a Ciência e a Tecnologia (Portugal)es_ES
dc.contributor.funderInstituto de Salud Carlos IIIes_ES
dc.date.accessioned2022-09-16T11:52:57Z
dc.date.available2022-09-16T11:52:57Z
dc.date.issued2022-07
dc.description.abstractCrimean-Congo haemorrhagic fever virus (CCHFV) continues to cause new human cases in Iberia while its spatial distribution and ecological determinants remain unknown. The virus remains active in a silent tick-animal cycle to which animals contribute maintaining the tick populations and the virus itself. Wild ungulates, in particular red deer, are essential hosts for Hyalomma ticks in Iberia, which are the principal competent vector of CCHFV. Red deer could be an excellent model to understand the ecological determinants of CCHFV as well as to predict infection risks for humans because it is large, gregarious, abundant and the principal host for Hyalomma lusitanicum. We designed a cross-sectional study, analysed the presence of CCHFV antibodies in 1444 deer from 82 populations, and statistically modelled exposure risk with host and environmental predictors. The best-fitted statistical model was projected for peninsular Spain to map infection risks. Fifty out of 82 deer populations were seropositive, with individual population prevalence as high as 88%. The highest prevalence of exposure to CCHFV occurred in the southwest of the Iberian Peninsula. Climate and ungulate abundance were the most influential predictors of the risk of exposure to the virus. The highest risk regions were those where H. lusitanicum is most abundant. Eight of the nine primary human cases occurred in or bordering these regions, demonstrating that the model predicts human infection risk accurately. A recent human case of CCHF occurred in northwestern Spain, a region that the model predicted as low risk, pointing out that it needs improvement to capture all determinants of the CCHFV infection risk. In this study, we have been able to identify the main ecological determinants of CCHFV, and we have also managed to create an accurate model to assess the risk of CCHFV infection.es_ES
dc.description.peerreviewedSíes_ES
dc.description.sponsorshipThis study has been funded by the Spanish Ministry for the Science and Innovation (MCI) through projects CGL2017-89866-R&E-RTA2015-0002-C02-02, and by the Regional Government of Castilla-La Mancha and the European Social Fund (ESF) through project SBPLY/19/180501/000321. RC-M, LC-M, SJ-R and JM-Gwould like to thank the MCI, ESF and the University of Castilla-La Mancha for their support through contracts PRE2018-083801, PEJ2018-003155-A, 2018/12504 and BES-2015-072206, respecively. BC was supported by FCT-Fundação para a Ciência e Tecnologia (2020.04872.BD). DG-B would like to thank MCI and Instituto de Salud Carlos III (CD19CIII/00011) for funding him.es_ES
dc.format.number4es_ES
dc.format.pagee630-e645es_ES
dc.format.volume69es_ES
dc.identifier.citationTransbound Emerg Dis. 2022 Jul;69(4):e630-e645.es_ES
dc.identifier.doi10.1111/tbed.14385es_ES
dc.identifier.e-issn1865-1682es_ES
dc.identifier.journalTransboundary and emerging diseaseses_ES
dc.identifier.pubmedID34739746es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/14983
dc.language.isoenges_ES
dc.publisherWileyes_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/CGL2017-89866-R&E-RTA2015-0002-C02-02es_ES
dc.relation.projectFISinfo:eu-repo/grantAgreement/ES/CD19CIII/00011es_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1111/tbed.14385es_ES
dc.repisalud.centroISCIII::Centro Nacional de Microbiologíaes_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEpidemiologyes_ES
dc.subjectOrthonairoviruses_ES
dc.subjectPreventiones_ES
dc.subjectRisk mappinges_ES
dc.subjectTickes_ES
dc.subjectZoonosises_ES
dc.subject.meshDeeres_ES
dc.subject.meshHemorrhagic Fever Virus, Crimean-Congoes_ES
dc.subject.meshHemorrhagic Fever, Crimeanes_ES
dc.subject.meshIxodidaees_ES
dc.subject.meshTickses_ES
dc.subject.meshAnimalses_ES
dc.subject.meshCross-Sectional Studieses_ES
dc.subject.meshHumanses_ES
dc.titleRed deer reveal spatial risks of Crimean-Congo haemorrhagic fever virus infectiones_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication75f5abc0-91b9-4e1d-b09c-13537a8df314
relation.isAuthorOfPublication.latestForDiscovery75f5abc0-91b9-4e1d-b09c-13537a8df314
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