一个协议和基于数据的预测,以调查在泰国的人类主导和受保护息地野生动物界面的病毒溢出:溢出界面项目
Chuanphot Thinphovong1, Ewan Nordstrom-Schuler1, Pipat Soisook2
1Faculty of Veterinary Technology, Kasetsart University, Bangkok, Thailand.
PloS one
|January 2, 2024
概括
该项目调查野生动物,家禽和人类的相互作用,以预测疾病溢出风险. 研究人员使用病毒查和网络分析来了解泰国潜在的病原体传播.
科学领域:
- 生态生态学 生态生态学
- 流行病学 流行病学
- 保护生物学 保护生物学
背景情况:
- 人类,野生动物和家禽之间的相互作用在全球范围内正在增加.
- 了解疾病溢出动态对于公共卫生至关重要.
- 景观梯度影响物种相遇和病原体传播.
研究的目的:
- 评估泰国的野生动物,家禽和人类遭遇.
- 开发疾病溢出事件的预测模型.
- 建立综合监控的协议.
主要方法:
- 在人类,蝙蝠,动物和狗身上进行病毒查.
- 摄像机陷和土地使用特征.
- 对潜在病原体传播途径的网络分析.
主要成果:
- 使用数据科学和IUCN数据制定预测假设.
- 预计将在43个宿主物种中共享57种病毒的检测.
- 确定野生动物,家禽和人类之间潜在的传播途径.
结论:
- 溢出界面项目协议为疾病溢出评估提供了一个框架.
- 收集的数据将测试病毒传播的数据驱动预测.
- 调查结果将为有针对性的干预提供信息,以减轻溢出风险.
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