监测动物病,以防止未来的疫情和流行病
Hengcong Liu1, Jiang Zhou2, Weifeng Shi3
1Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai Institute of Virology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Cell host & microbe
|November 13, 2025
概括
大多数新的传染病来自动物. 这项研究解决了病毒生态学,病毒发现和人工智能应用方面的知识差距,用于监测动物传播疾病以防止疫情爆发.
科学领域:
- * 一个健康,动物传染病,病毒学,流行病学,人工智能
背景情况:
- *新出现的人类传染病主要来源于动物水库 (动物病).
- *有效监测动物传染病原体对于预防全球卫生危机至关重要.
研究的目的:
- * 确定病毒生态学和全球病毒发现的关键知识差距.
- * 探索人工智能 (AI) 在加强传染病监测中的作用.
主要方法:
- * 文献综述和对病毒生态学和动物病的当前研究的综合.
- *分析全球病毒发现力度的差异.
- *讨论适用于传染病监测的AI方法.
主要成果:
- * 在了解驱动病毒传播的生态因素方面存在重大差距.
- *全球病毒发现工作分布不均,阻碍了全面的监测.
- *人工智能为预测建模和早期检测动物病毒威胁提供了有前途的应用.
结论:
- *解决病毒生态学和发现方面的知识差距对于积极控制动物传播疾病至关重要.
- *利用人工智能可以显著改善全球传染病监测和疫情预防策略.
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