从野生鸟类的积极监测中检测禽流感病毒的模式:系统性审查和元分析
Marie-Cécile Dupas1,2, Alessandra Falcucci3, Claudia Pittiglio3
1Université Libre de Bruxelles, Brussels, Belgium.
One health (Amsterdam, Netherlands)
|February 20, 2026
概括
这项研究分析了野生鸟类中的禽流感病毒 (AIV) 检测,发现流行率因季节,地区和物种而异. 加强监测对于预测AIV风险至关重要.
科学领域:
- 兽医病毒学 兽医病毒学
- 野生动物生态生态学
- 流行病学 流行病学
背景情况:
- 野生鸟类是禽流感病毒 (AIV) 的自然储库.
- 了解AIV流行模式对于疾病控制和预防至关重要.
研究的目的:
- 为了确定与野生鸟类中AIV检测相关的模式和生态因素.
- 通过系统性审查和元分析,提供AIV流行情况的全面概述.
主要方法:
- 积极监控数据的系统审查和元分析.
- 选了2851篇文章,197篇被选中进行分析,包括367种鸟类.
- 在900,469个样本 (1971-2023) 中计算了聚合流行率.
主要成果:
- 在抽样鸟类中,AIV的整体综合流行率为4.80%,具有显著的异质性.
- 中美洲的患病率最高 (9.89%).
- 流行率在秋季 (温带) 和干旱季 (热带) 达到顶峰;在迁徙和淡水相关物种和 Anatidae 家庭中更高.
结论:
- 确定了野生鸟类中AIV流行的主要空间,分类学和时间模式.
- 显著的异质性表明监控强度,方法和生态因素的变化.
- 需要协调,代表性的监测,以更好地预测新出现的禽流感风险.
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