Mapping the risk of exposure to Crimean-Congo haemorrhagic fever virus in the Iberian Peninsula using Eurasian wild boar (Sus scrofa) as a model

被引:6
作者
Baz-Flores, Sara [1 ]
Herraiz, Cesar [1 ]
Peralbo-Moreno, Alfonso [1 ]
Barral, Marta [2 ]
Arnal, Mari Cruz [3 ]
Balseiro, Ana [4 ,5 ]
Cano-Terriza, David [6 ]
Castro-Scholten, Sabrina [6 ]
Cevidanes, Aitor [2 ]
Conde-Lizarralde, Alazne [1 ]
Cuadrado-Matias, Raul [1 ]
Escribano, Fernando [7 ]
de Luco, Daniel Fernandez [3 ,8 ]
Fidalgo, Luis Eusebio [3 ,8 ]
Hermoso-de Mendoza, Javier [9 ]
Fandos, Paulino [10 ]
Gomez-Guillamon, Felix [11 ]
Granados, Jose E. [12 ]
Jimenez-Martin, Debora [6 ]
Lopez-Olvera, Jorge R. [13 ,14 ]
Martin, Ines [15 ]
Martinez, Remigio [6 ,9 ]
Mentaberre, Gregorio [16 ]
Garcia-Bocanegra, Ignacio [6 ,17 ]
Ruiz-Fons, Francisco [1 ,17 ,18 ]
机构
[1] Inst Invest Recursos Cineget IREC, Hlth & Biotechnol SaBio Grp, CSIC UCLM JCCM, Ciudad Real, Spain
[2] Basque Res & Technol Alliance BRTA, Dept Anim Hlth, NEIKER, Basque Inst Agr Res & Dev, Parque Cientif & Tecnol Bizkaia, Derio, Spain
[3] Univ Zaragoza, Fac Vet, Dept Patol Anim, Zaragoza, Spain
[4] Univ Leon, Fac Vet, Dept Sanidad Anim, Leon 24071, Spain
[5] Univ Leon, CSIC, Inst Ganaderia Montana, Dept Sanidad Anim, Grulleros 24346, Spain
[6] Univ Cordoba, Dept Sanidad Anim, Grp Invest Sanidad Anim & Zoonosis GISAZ, UIC Zoonosis & Enfermedades Emergentes ENZOEM, Cordoba 14004, Spain
[7] Ctr Recuperac Fauna Silvestre El Valle, Ctra Subida Valle 62, La Alberca 30150, Murcia, Spain
[8] Univ Santiago Compostela, Dept Anat Prod Anim & Ciencias Clin Vet APAyCCV, Lugo, Spain
[9] Univ Extremadura, Fac Vet, Dept Sanidad Anim, Caceres 10003, Spain
[10] Agencia Medio Ambiente & Agua, Seville, Spain
[11] Junta Andalucia, Consejeria Agr Ganaderia Pesca & Desarrollo Soste, Malaga, Spain
[12] Parque Nacl & Parque Nat Sierra Nevada,Ctra Antigu, Pinos Genil 18071, Granada, Spain
[13] Univ Autonoma Barcelona UAB, Dept Med & Cirurgia Anim, Wildlife Ecol & Hlth WE &H Res Grp, Bellaterra 08193, Barcelona, Spain
[14] Univ Autonoma Barcelona UAB, Dept Med & Cirurgia Anim, Serv Ecopatol Fauna Salvatge SEFaS, Bellaterra 08193, Barcelona, Spain
[15] Univ Miguel Hernandez Elche, Dept Biol Aplicada, Elche 03202, Alicante, Spain
[16] Univ Lleida UdL, Escola Tecn Super Engn Agr ETSEA, Dept Ciencia Anim, Wildlife Ecol & Hlth Grp Res Grp WE&H, Lleida, Spain
[17] Inst Salud Carlos III, CIBERINFEC, ISCIII CIBER Enfermedades Infecciosas, Madrid, Spain
[18] Inst Invest Recursos Cineget IREC, Ronda Toledo 12, Ciudad Real 13005, Spain
关键词
Hyalomma; Orthonairovirus; Risk map; Serosurvey; Tick; Zoonosis; IXODID TICKS; TRANSMISSION; SPAIN; ANTIBODIES; EUROPE; EPIDEMIOLOGY; EXPANSION;
D O I
10.1016/j.ttbdis.2023.102281
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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 x 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 pre-dictors 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.
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页数:9
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