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马鹿揭示了克里米亚-刚果出血热病毒感染的空间风险。

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

作者信息

Cuadrado-Matías Raúl, Cardoso Beatriz, Sas Miriam A, García-Bocanegra Ignacio, Schuster Isolde, González-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

机构信息

Health & Biotechnology (SaBio) Group, Instituto de Investigación en Recursos Cinegéticos (CSIC-UCLM-JCCM), Ciudad Real, Spain.

CIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Porto, Portugal.

出版信息

Transbound Emerg Dis. 2022 Jul;69(4):e630-e645. doi: 10.1111/tbed.14385. Epub 2021 Nov 19.

Abstract

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.

摘要

克里米亚-刚果出血热病毒(CCHFV)继续在伊比利亚半岛引发新的人类病例,但其空间分布和生态决定因素仍不明确。该病毒在蜱-动物的隐匿循环中保持活跃,动物在维持蜱虫种群和病毒本身方面发挥着作用。野生有蹄类动物,尤其是马鹿,是伊比利亚半岛璃眼蜱的重要宿主,而璃眼蜱是CCHFV的主要传播媒介。马鹿可能是了解CCHFV生态决定因素以及预测人类感染风险的绝佳模型,因为它体型大、群居、数量众多,且是葡萄牙璃眼蜱的主要宿主。我们设计了一项横断面研究,分析了来自82个种群的1444只鹿体内CCHFV抗体的存在情况,并使用宿主和环境预测因子对暴露风险进行了统计建模。针对西班牙半岛预测了最佳拟合统计模型,以绘制感染风险图。82个鹿种群中有50个呈血清阳性,个别种群患病率高达88%。CCHFV暴露患病率最高的地区位于伊比利亚半岛西南部。气候和有蹄类动物数量是病毒暴露风险最具影响力的预测因子。风险最高的地区是葡萄牙璃眼蜱数量最多的地区。9例主要人类病例中有8例发生在这些地区或其周边,表明该模型能够准确预测人类感染风险。西班牙西北部最近发生了一例人类CCHF病例,该模型预测该地区为低风险地区,这表明该模型需要改进以涵盖CCHFV感染风险的所有决定因素。在本研究中,我们能够确定CCHFV的主要生态决定因素,并且还成功创建了一个准确的模型来评估CCHFV感染风险。

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