Mapping the risk of exposure to Crimean-Congo haemorrhagic fever virus in the Iberian Peninsula using Eurasian wild boar (Sus scrofa) as a model
[EN]Crimean-Congo haemorrhagic fever (CCHF) virus (CCHFV) is a tick-borne zoonotic pathogen that can cause a lethal haemorrhagic disease in humans. Although the virus appears to be endemically established in the Iberian Peninsula, CCHF is an emerging disease in Spain. Clinical signs of CCHFV infecti...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de León |
| Repositorio: | BULERIA. Repositorio Institucional de la Universidad de León |
| OAI Identifier: | oai:buleria.unileon.es:10612/26149 |
| Acceso en línea: | https://www.sciencedirect.com/science/article/pii/S1877959X23001620?via%3Dihub https://hdl.handle.net/10612/26149 |
| Access Level: | acceso abierto |
| Palabra clave: | Sanidad animal Veterinaria Hyalomma Orthonairovirus Risk map Serosurvey Tick Zoonosis 3202 Epidemiología 3109 Ciencias Veterinarias 3212 Salud Publica 3210 Medicina Preventiva |
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| dc.title.none.fl_str_mv |
Mapping the risk of exposure to Crimean-Congo haemorrhagic fever virus in the Iberian Peninsula using Eurasian wild boar (Sus scrofa) as a model |
| title |
Mapping the risk of exposure to Crimean-Congo haemorrhagic fever virus in the Iberian Peninsula using Eurasian wild boar (Sus scrofa) as a model |
| spellingShingle |
Mapping the risk of exposure to Crimean-Congo haemorrhagic fever virus in the Iberian Peninsula using Eurasian wild boar (Sus scrofa) as a model Baz Flores, Sara Sanidad animal Veterinaria Hyalomma Orthonairovirus Risk map Serosurvey Tick Zoonosis 3202 Epidemiología 3109 Ciencias Veterinarias 3212 Salud Publica 3210 Medicina Preventiva |
| title_short |
Mapping the risk of exposure to Crimean-Congo haemorrhagic fever virus in the Iberian Peninsula using Eurasian wild boar (Sus scrofa) as a model |
| title_full |
Mapping the risk of exposure to Crimean-Congo haemorrhagic fever virus in the Iberian Peninsula using Eurasian wild boar (Sus scrofa) as a model |
| title_fullStr |
Mapping the risk of exposure to Crimean-Congo haemorrhagic fever virus in the Iberian Peninsula using Eurasian wild boar (Sus scrofa) as a model |
| title_full_unstemmed |
Mapping the risk of exposure to Crimean-Congo haemorrhagic fever virus in the Iberian Peninsula using Eurasian wild boar (Sus scrofa) as a model |
| title_sort |
Mapping the risk of exposure to Crimean-Congo haemorrhagic fever virus in the Iberian Peninsula using Eurasian wild boar (Sus scrofa) as a model |
| dc.creator.none.fl_str_mv |
Baz Flores, Sara Herraiz, Cesar Peralbo Moreno, Alfonso Barral, Marta Arnal, María Cruz Balseiro Morales, Ana María Cano Terriza, David Castro Scholten, Sabrina Cevidanes, Aitor Conde Lizarralde, Alazne Cuadrado Matías, Raúl Escribano, Fernando Fernández de Luco, Daniel Fidalgo, Luis Eusebio Hermoso de Mendoza, Javier Fandos, Paulino Gómez Guillamón, Félix Granados, José Enrique Jiménez Martín, Débora López Olvera, Jorge Ramón Martín, Inés Martínez, Remigio Mentaberre, Gregorio García Bocanegra, Ignacio Ruiz Fons, José Francisco |
| author |
Baz Flores, Sara |
| author_facet |
Baz Flores, Sara Herraiz, Cesar Peralbo Moreno, Alfonso Barral, Marta Arnal, María Cruz Balseiro Morales, Ana María Cano Terriza, David Castro Scholten, Sabrina Cevidanes, Aitor Conde Lizarralde, Alazne Cuadrado Matías, Raúl Escribano, Fernando Fernández de Luco, Daniel Fidalgo, Luis Eusebio Hermoso de Mendoza, Javier Fandos, Paulino Gómez Guillamón, Félix Granados, José Enrique Jiménez Martín, Débora López Olvera, Jorge Ramón Martín, Inés Martínez, Remigio Mentaberre, Gregorio García Bocanegra, Ignacio Ruiz Fons, José Francisco |
| author_role |
author |
| author2 |
Herraiz, Cesar Peralbo Moreno, Alfonso Barral, Marta Arnal, María Cruz Balseiro Morales, Ana María Cano Terriza, David Castro Scholten, Sabrina Cevidanes, Aitor Conde Lizarralde, Alazne Cuadrado Matías, Raúl Escribano, Fernando Fernández de Luco, Daniel Fidalgo, Luis Eusebio Hermoso de Mendoza, Javier Fandos, Paulino Gómez Guillamón, Félix Granados, José Enrique Jiménez Martín, Débora López Olvera, Jorge Ramón Martín, Inés Martínez, Remigio Mentaberre, Gregorio García Bocanegra, Ignacio Ruiz Fons, José Francisco |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Sanidad Animal Facultad de Veterinaria |
| dc.subject.none.fl_str_mv |
Sanidad animal Veterinaria Hyalomma Orthonairovirus Risk map Serosurvey Tick Zoonosis 3202 Epidemiología 3109 Ciencias Veterinarias 3212 Salud Publica 3210 Medicina Preventiva |
| topic |
Sanidad animal Veterinaria Hyalomma Orthonairovirus Risk map Serosurvey Tick Zoonosis 3202 Epidemiología 3109 Ciencias Veterinarias 3212 Salud Publica 3210 Medicina Preventiva |
| description |
[EN]Crimean-Congo haemorrhagic fever (CCHF) virus (CCHFV) is a tick-borne zoonotic pathogen that can cause a lethal haemorrhagic disease in humans. Although the virus appears to be endemically established in the Iberian Peninsula, CCHF is an emerging disease in Spain. Clinical signs of CCHFV infection are mainly manifested in humans, but the virus replicates in several animal species. Understanding the determinants of CCHFV exposure risk from animal models is essential to predicting high-risk exposure hotspots for public health action. With this objective in mind, we designed a cross-sectional study of Eurasian wild boar (Sus scrofa) in Spain and Portugal. The study analysed 5,291 sera collected between 2006 and 2022 from 90 wild boar populations with a specific double-antigen ELISA to estimate CCHFV serum prevalence and identify the main determinants of exposure probability. To do so, we statistically modelled exposure risk with host- and environment-related predictors and spatially projected it at a 10 × 10 km square resolution at the scale of the Iberian Peninsula to map foci of infection risk. Fifty-seven (63.3 %) of the 90 populations had at least one seropositive animal, with seroprevalence ranging from 0.0 to 88.2 %. Anti-CCHFV antibodies were found in 1,026 of 5,291 wild boar (19.4 %; 95 % confidence interval: 18.3–20.5 %), with highest exposure rates in southwestern Iberia. The most relevant predictors of virus exposure risk were wild boar abundance, local rainfall regime, shrub cover, winter air temperature and soil temperature variation. The spatial projection of the best-fit model identified high-risk foci as occurring in most of western and southwestern Iberia and identified recently confirmed risk foci in eastern Spain. The results of the study demonstrate that serological surveys of CCHFV vector hosts are a powerful, robust and highly informative tool for public health authorities to take action to prevent human cases of CCHF in enzootic and emergency settings. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://www.sciencedirect.com/science/article/pii/S1877959X23001620?via%3Dihub https://hdl.handle.net/10612/26149 |
| url |
https://www.sciencedirect.com/science/article/pii/S1877959X23001620?via%3Dihub https://hdl.handle.net/10612/26149 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
info:eu-repo/grantAgreement/AEI/ Programa Estatal de I+D+i Orientada a los Retos de la Sociedad /CGL2017-89866-R |
| dc.rights.none.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Elsevier |
| publisher.none.fl_str_mv |
Elsevier |
| dc.source.none.fl_str_mv |
reponame:BULERIA. Repositorio Institucional de la Universidad de León instname:Universidad de León |
| instname_str |
Universidad de León |
| reponame_str |
BULERIA. Repositorio Institucional de la Universidad de León |
| collection |
BULERIA. Repositorio Institucional de la Universidad de León |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869422801882972160 |
| spelling |
Mapping the risk of exposure to Crimean-Congo haemorrhagic fever virus in the Iberian Peninsula using Eurasian wild boar (Sus scrofa) as a modelBaz Flores, SaraHerraiz, CesarPeralbo Moreno, AlfonsoBarral, MartaArnal, María CruzBalseiro Morales, Ana MaríaCano Terriza, DavidCastro Scholten, SabrinaCevidanes, AitorConde Lizarralde, AlazneCuadrado Matías, RaúlEscribano, FernandoFernández de Luco, DanielFidalgo, Luis EusebioHermoso de Mendoza, JavierFandos, PaulinoGómez Guillamón, FélixGranados, José EnriqueJiménez Martín, DéboraLópez Olvera, Jorge RamónMartín, InésMartínez, RemigioMentaberre, GregorioGarcía Bocanegra, IgnacioRuiz Fons, José FranciscoSanidad animalVeterinariaHyalommaOrthonairovirusRisk mapSerosurveyTickZoonosis3202 Epidemiología3109 Ciencias Veterinarias3212 Salud Publica3210 Medicina Preventiva[EN]Crimean-Congo haemorrhagic fever (CCHF) virus (CCHFV) is a tick-borne zoonotic pathogen that can cause a lethal haemorrhagic disease in humans. Although the virus appears to be endemically established in the Iberian Peninsula, CCHF is an emerging disease in Spain. Clinical signs of CCHFV infection are mainly manifested in humans, but the virus replicates in several animal species. Understanding the determinants of CCHFV exposure risk from animal models is essential to predicting high-risk exposure hotspots for public health action. With this objective in mind, we designed a cross-sectional study of Eurasian wild boar (Sus scrofa) in Spain and Portugal. The study analysed 5,291 sera collected between 2006 and 2022 from 90 wild boar populations with a specific double-antigen ELISA to estimate CCHFV serum prevalence and identify the main determinants of exposure probability. To do so, we statistically modelled exposure risk with host- and environment-related predictors and spatially projected it at a 10 × 10 km square resolution at the scale of the Iberian Peninsula to map foci of infection risk. Fifty-seven (63.3 %) of the 90 populations had at least one seropositive animal, with seroprevalence ranging from 0.0 to 88.2 %. Anti-CCHFV antibodies were found in 1,026 of 5,291 wild boar (19.4 %; 95 % confidence interval: 18.3–20.5 %), with highest exposure rates in southwestern Iberia. The most relevant predictors of virus exposure risk were wild boar abundance, local rainfall regime, shrub cover, winter air temperature and soil temperature variation. The spatial projection of the best-fit model identified high-risk foci as occurring in most of western and southwestern Iberia and identified recently confirmed risk foci in eastern Spain. The results of the study demonstrate that serological surveys of CCHFV vector hosts are a powerful, robust and highly informative tool for public health authorities to take action to prevent human cases of CCHF in enzootic and emergency settings.SIThis study was funded by the regional Government of Castilla-La Mancha (JCCM) and the EU-European Social Fund (ESF) through project SBPLY/19/180501/000321 and by MCIN/AEI/10.13039/501100011033 and the European Regional Development Fund (EU-ERDF) through project CGL2017–89866-R. We also acknowledge funding by MCIN/AEI/10.13039/501100011033 and by the European Union "Next Generation EU"/PRTR Recovery, Transformation and Resilience Plan-Next Generation EU” through the TED2021–132599B-C21/22 project, by EU-ERDF (POPE 2014–2020) project LifeWATCH INDALO-Scientific Infrastructures for Global Change Monitoring and Adaptation in Andalusia (LIFEWATCH-2019–04-AMA-01) and by “Instituto de Salud Carlos III”, MCIN/AEI/10.13039/501100011033 and EU-Next Generation EU funds through “CIBER-Consorcio Centro de Investigación Biomédica en Red (CB 2021/13/00083)”. SB-F and CH acknowledge funding by JCCM and EU-ESF contracts PREJCCM2019/11 and SUPLY/19/180501/000487, respectively. AP-M was funded by the University of Castilla-La Mancha (UCLM) and EU-ERDF through 2019-PREDUCLM-10932 contract whereas RC-M received funding from MCIN, EU-ERDF and UCLM at PRE2018–083801 contract. DJ-M holds a PhD contract granted by the Own Research Plan of the University of Cordoba and SC-S is supported by an FPU grant from the Spanish Ministry of Universities (FPU19/06,026). This study has been partially funded by the Department of Economic Development and Infrastructures of the Basque Government. AC was supported by a ‘Ramón y Cajal’ post-doctoral grant RYC2021–033084-I funded by MCIN/AEI/10.13039/501,100,011,033 and by European Union NextGenerationEU/PRTR. RM is supported by a postdoctoral contract Margarita Salas Reference MS-23 (University of Extremadura) from the Program of Requalification of the Spanish University System (Spanish Ministry of Universities) financed by the European Union-NextGenerationEU.ElsevierSanidad AnimalFacultad de Veterinaria2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://www.sciencedirect.com/science/article/pii/S1877959X23001620?via%3Dihubhttps://hdl.handle.net/10612/26149reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Universidad de LeónInglésinfo:eu-repo/grantAgreement/AEI/ Programa Estatal de I+D+i Orientada a los Retos de la Sociedad /CGL2017-89866-Rhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:buleria.unileon.es:10612/261492026-06-24T12:43:27Z |
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15,812429 |