开展野生动物微生物研究应对未来新发传染病

秦天 阮向东 段招军 曹建平 梁俊容 杨晶 蒋艳 施莽 沈玉娟 徐建国

秦天, 阮向东, 段招军, 曹建平, 梁俊容, 杨晶, 蒋艳, 施莽, 沈玉娟, 徐建国. 开展野生动物微生物研究应对未来新发传染病[J]. 疾病监测, 2021, 36(3): 209-213. doi: 10.3784/jbjc.202101260044
引用本文: 秦天, 阮向东, 段招军, 曹建平, 梁俊容, 杨晶, 蒋艳, 施莽, 沈玉娟, 徐建国. 开展野生动物微生物研究应对未来新发传染病[J]. 疾病监测, 2021, 36(3): 209-213. doi: 10.3784/jbjc.202101260044
Qin Tian, Ruan Xiangdong, Duan Zhaojun, Cao Jianping, Liang Junrong, Yang Jing, Jiang Yan, Shi Mang, Shen Yujuan, Xu Jianguo. Carrying out wild animal microbial research for the response of new infectious diseases in the future[J]. Disease Surveillance, 2021, 36(3): 209-213. doi: 10.3784/jbjc.202101260044
Citation: Qin Tian, Ruan Xiangdong, Duan Zhaojun, Cao Jianping, Liang Junrong, Yang Jing, Jiang Yan, Shi Mang, Shen Yujuan, Xu Jianguo. Carrying out wild animal microbial research for the response of new infectious diseases in the future[J]. Disease Surveillance, 2021, 36(3): 209-213. doi: 10.3784/jbjc.202101260044

开展野生动物微生物研究应对未来新发传染病

doi: 10.3784/jbjc.202101260044
基金项目: 中国工程院咨询项目(No. 2020-XZ-37);国家自然科学基金(No. 81671985)
详细信息
    作者简介:

    秦天,女,贵州省凯里市人,研究员,主要从事军团菌病等新发传染病流行规律及致病机制研究,Email:qintian@icdc.cn

    通讯作者:

    徐建国,Tel:010–58900701,Email:xujianguo@icdc.cn

  • 中图分类号: R211; R51

Carrying out wild animal microbial research for the response of new infectious diseases in the future

Funds: This study was supported by grants from the Advisory Research Project of the Chinese Academy of Engineering (No. 2020-XZ-37) and National Natural Science Foundation of China (No. 81671985)
More Information
  • 摘要: 我国是世界上野生动物种类最为丰富的国家之一。 分布广泛、种类繁多的野生动物,是众多传染病的自然宿主或易感宿主。 按物种量预估我国可能存在的未知病毒种类在120万种以上;仅青藏高原野生兽类可能存在1万~3万种未知细菌;全世界动物源性寄生虫约不少于60万种,真菌约有200万种。 随着经济增长和全球化发展,人与野生动物的接触越来越频繁,增加了野生动物病原体溢入人类的概率。 未来动物源性传染病的发生将成为人类必须面对的“新常态”。 开展野生动物微生物和未来新发传染病防控的研究,建立潜在动物源性新发传染病风险评估及预测预警的分析框架和评估技术体系,不仅能够了解野生动物微生物群体的本底信息,更重要的是能够深入分析、发现、预警,甚至预测未来可能发生的重大动物源性新发传染病;减少从发现到响应之间的应对时间;最大程度降低对社会和经济的影响及损失;较早地特异性干预疾病的产生或流行;全面提高针对新发、突发传染病的反应和控制能力。
  • 图  1  动物源性微生物传播模式

    Figure  1.  Animal-derived microbial transmission mode

    图  2  基于信息学的高效并且规范化的方法体系

    Figure  2.  Efficient and standardized method system based on informatics

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出版历程
  • 收稿日期:  2021-01-26
  • 网络出版日期:  2021-03-05
  • 刊出日期:  2021-04-07

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