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

Crimean-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 its...

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Autores: Cuadrado-Matías, Raúl, Cardoso, Beatriz, Sas, Miriam A, García-Bocanegra, Ignacio, Schuster, Isolde, Gonzalez-Barrio, David, Reiche, Sven, Mertens, Marc, Cano-Terriza, David, Casades-Martí, Laia, Jiménez-Ruiz, Saúl, Martínez-Guijosa, Jordi, Fierro, Yolanda, Gómez-Guillamón, Félix, Gortázar, Christian, Acevedo, Pelayo, Groschup, Martin H, Ruiz-Fons, Francisco
Formato: artículo
Fecha de publicación:2022
País:España
Recursos:Instituto de Salud Carlos III (ISCIII)
Repositorio:Repisalud
Idioma:inglés
OAI Identifier:oai:repisalud.isciii.es:20.500.12105/14983
Acesso em linha:http://hdl.handle.net/20.500.12105/14983
Access Level:acceso abierto
Palavra-chave:Deer
Hemorrhagic Fever Virus, Crimean-Congo
Hemorrhagic Fever, Crimean
Ixodidae
Ticks
Animals
Cross-Sectional Studies
Humans
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repository_id_str
spelling Red deer reveal spatial risks of Crimean-Congo haemorrhagic fever virus infectionCuadrado-Matías, RaúlCardoso, BeatrizSas, Miriam AGarcía-Bocanegra, IgnacioSchuster, IsoldeGonzalez-Barrio, DavidReiche, SvenMertens, MarcCano-Terriza, DavidCasades-Martí, LaiaJiménez-Ruiz, SaúlMartínez-Guijosa, JordiFierro, YolandaGómez-Guillamón, FélixGortázar, ChristianAcevedo, PelayoGroschup, Martin HRuiz-Fons, FranciscoDeerHemorrhagic Fever Virus, Crimean-CongoHemorrhagic Fever, CrimeanIxodidaeTicksAnimalsCross-Sectional StudiesHumansCrimean-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.WileyMinisterio de Ciencia e Innovación (España)Regional Government of Castile-La Mancha (España)Unión Europea. Fondo Social Europeo (ESF/FSE)University of Castilla-La Mancha (España)Fundação para a Ciência e Tecnologia (Portugal)Instituto de Salud Carlos III20222022-09-1620222022-07-0120222022-07-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.12105/14983reponame:Repisaludinstname:Instituto de Salud Carlos III (ISCIII)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repisalud.isciii.es:20.500.12105/149832026-06-12T12:43:37Z
dc.title.none.fl_str_mv Red deer reveal spatial risks of Crimean-Congo haemorrhagic fever virus infection
title Red deer reveal spatial risks of Crimean-Congo haemorrhagic fever virus infection
spellingShingle Red deer reveal spatial risks of Crimean-Congo haemorrhagic fever virus infection
Cuadrado-Matías, Raúl
Deer
Hemorrhagic Fever Virus, Crimean-Congo
Hemorrhagic Fever, Crimean
Ixodidae
Ticks
Animals
Cross-Sectional Studies
Humans
title_short Red deer reveal spatial risks of Crimean-Congo haemorrhagic fever virus infection
title_full Red deer reveal spatial risks of Crimean-Congo haemorrhagic fever virus infection
title_fullStr Red deer reveal spatial risks of Crimean-Congo haemorrhagic fever virus infection
title_full_unstemmed Red deer reveal spatial risks of Crimean-Congo haemorrhagic fever virus infection
title_sort Red deer reveal spatial risks of Crimean-Congo haemorrhagic fever virus infection
dc.creator.none.fl_str_mv Cuadrado-Matías, Raúl
Cardoso, Beatriz
Sas, Miriam A
García-Bocanegra, Ignacio
Schuster, Isolde
Gonzalez-Barrio, David
Reiche, Sven
Mertens, Marc
Cano-Terriza, David
Casades-Martí, Laia
Jiménez-Ruiz, Saúl
Martínez-Guijosa, Jordi
Fierro, Yolanda
Gómez-Guillamón, Félix
Gortázar, Christian
Acevedo, Pelayo
Groschup, Martin H
Ruiz-Fons, Francisco
author Cuadrado-Matías, Raúl
author_facet Cuadrado-Matías, Raúl
Cardoso, Beatriz
Sas, Miriam A
García-Bocanegra, Ignacio
Schuster, Isolde
Gonzalez-Barrio, David
Reiche, Sven
Mertens, Marc
Cano-Terriza, David
Casades-Martí, Laia
Jiménez-Ruiz, Saúl
Martínez-Guijosa, Jordi
Fierro, Yolanda
Gómez-Guillamón, Félix
Gortázar, Christian
Acevedo, Pelayo
Groschup, Martin H
Ruiz-Fons, Francisco
author_role author
author2 Cardoso, Beatriz
Sas, Miriam A
García-Bocanegra, Ignacio
Schuster, Isolde
Gonzalez-Barrio, David
Reiche, Sven
Mertens, Marc
Cano-Terriza, David
Casades-Martí, Laia
Jiménez-Ruiz, Saúl
Martínez-Guijosa, Jordi
Fierro, Yolanda
Gómez-Guillamón, Félix
Gortázar, Christian
Acevedo, Pelayo
Groschup, Martin H
Ruiz-Fons, Francisco
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Regional Government of Castile-La Mancha (España)
Unión Europea. Fondo Social Europeo (ESF/FSE)
University of Castilla-La Mancha (España)
Fundação para a Ciência e Tecnologia (Portugal)
Instituto de Salud Carlos III
dc.subject.none.fl_str_mv Deer
Hemorrhagic Fever Virus, Crimean-Congo
Hemorrhagic Fever, Crimean
Ixodidae
Ticks
Animals
Cross-Sectional Studies
Humans
topic Deer
Hemorrhagic Fever Virus, Crimean-Congo
Hemorrhagic Fever, Crimean
Ixodidae
Ticks
Animals
Cross-Sectional Studies
Humans
description Crimean-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.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-09-16
2022
2022-07-01
2022
2022-07-01
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12105/14983
url http://hdl.handle.net/20.500.12105/14983
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Repisalud
instname:Instituto de Salud Carlos III (ISCIII)
instname_str Instituto de Salud Carlos III (ISCIII)
reponame_str Repisalud
collection Repisalud
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812455

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