洞察克里米亚-刚果出血热病毒暴露概率:野生和家养有蹄类动物的一项时期横断面研究。

Sara Baz-Flores, Raúl Cuadrado-Matías, Cesar Herraiz, Alfonso Peralbo-Moreno, Isabel G Fernández de Mera, Francisco Ruiz-Fons
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摘要

克里米亚-刚果出血热(CCHF)是西班牙一种新出现的蜱传人类疾病。虽然CCHF主要局限于人类,但CCHF病毒(CCHFV)可感染几种脊椎动物。为了预测公共卫生干预的高危暴露区,有必要通过动物模型了解决定暴露于CCHFV风险的因素。本文对西班牙中南部卡斯蒂利亚-拉曼查(Castilla-La Mancha, CLM)的各种野生和家养有蹄类动物进行了一项横断面研究(1999年至2022年)。我们使用特异性双抗原ELISA分析了6236份有蹄类动物的血清,以评估CCHFV暴露的空间分布。我们使用二项分布的广义线性混合模型,用宿主和环境预测因子模拟暴露概率。检出抗cchfv抗体3531份(56.6%);95% CI: 55.4 - 57.9%), CLM西部和南部的暴露率最高。马鹿(Cervus elaphus Linnaeus, 1758)血清阳性率最高,为76.45%;95%CI: 75.1 ~ 77.7%),最佳拟合统计模型表明其为暴露风险最高的物种。与病毒暴露风险最相关的预测因子是灌木盖度、小反刍动物密度、野生有蹄类动物密度和林地盖度。最佳拟合模型的空间投影确定了CLM西部和西南部大部分地区的高风险焦点,但也确定了该地区的有限区域。我们的研究结果表明,对各种CCHFV媒介宿主进行的血清学调查可作为公共卫生当局在地方性和紧急情况下处理和预防人间CCHF病例的有效、可靠和高度信息性资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Insights into Crimean-Congo hemorrhagic fever virus exposure probability: a period cross-sectional study in wild and domestic ungulates.

Crimean-Congo hemorrhagic fever (CCHF) is an emerging tick-borne human disease in Spain. Although CCHF is mainly confined to humans, the CCHF virus (CCHFV) can infect several vertebrate species. To predict high-risk exposure areas for public health interventions, it is essential to understand the factors that determine the risk of exposure to CCHFV through animal models. We conducted a cross-sectional study over a defined period (1999 to 2022) on various wild and domestic ungulate species in Castilla-La Mancha (CLM), south-central Spain. We analyzed 6,236 sera of ungulates using a specific double-antigen ELISA to assess CCHFV exposure spatial distribution. We modeled exposure probability with host and environmental predictors using generalized linear mixed models with a binomial distribution. Anti-CCHFV antibodies were detected in 3,531 sera (56.6%; 95% CI: 55.4 to 57.9%), with the greatest exposure rates in western and southern CLM. The red deer (Cervus elaphus Linnaeus, 1758) exhibited the highest seroprevalence (76.45%; 95%CI: 75.1 to 77.7%), and the best-fit statistical model indicated that it was the species with the highest risk of exposure. The most relevant predictors of virus exposure risk were shrubland cover, small ruminant density, wild ungulate density, and woodland cover. The spatial projection of the best-fit model identified high-risk foci in most of western and southwestern CLM but also in limited areas across the region. Our results demonstrate that serological surveys conducted on various CCHFV vector hosts serve as a potent, robust, and highly informative resource for public health authorities to address and prevent human CCHF cases in enzootic and emergency situations.

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