基于多式联运数据的新出现的传染病的早期预警
Haotian Ren1, Yunchao Ling1, Ruifang Cao1
1Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Biosafety and health
|June 26, 2023
概括
这篇评论强调了数据库和跟踪新兴传染病 (如COVID-19和流感) 的技术. 它专注于病毒变种预测和早期预警系统,以帮助控制流行病.
科学领域:
- 病毒学 病毒学
- 生物信息学是一种生物信息学.
- 流行病学 流行病学
背景情况:
- 随着COVID-19的爆发,人们意识到了解新出现的传染病的重要性.
- 多omics技术已经导致创建了全面的病毒信息数据库.
- 现有的数据集成有助于构建家族遗传树和预测病毒行为.
研究的目的:
- 审查新出现的传染性病毒的数据库.
- 总结病毒变种预测和早期预警的技术.
- 为未来的病毒预防和控制研究提供参考,重点关注SARS-CoV-2和流感.
主要方法:
- 整合多维信息,用于构建新兴传染性病毒的数据库.
- 开发病毒突变谱和变种预测模型.
- 对突变受体亲和力和病毒动态进化传播模型的分析.
主要成果:
- 一个全面的概述当前的病毒研究,数据库和预测技术.
- 专注于严重急性呼吸道综合征冠状病毒2 (SARS-CoV-2) 和流感病毒研究.
- 确定关键领域:多维数据集成,变体预测和早期预警系统.
结论:
- 有效的病毒变体预测和早期预警系统对于疫情控制至关重要.
- 多学科数据整合和先进的建模支持主动的公共卫生战略.
- 这一综述为推进传染病监测和应对提供了有价值的参考.
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