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作 者:Mingchen Zhao Jingyuan Chen Qiang Wang Zuhong Lu Zhongwei Jia
机构地区:[1]School of Public Health,Peking University,Beijing,China [2]West China School of Public Health and West China Fourth Hospital,Sichuan University,Chengdu,Sichuan,China [3]Goodwill Hessian Health Technology Co.,Ltd.,Beijing,China [4]State Key Laboratory of Bioelectronics,School of Biological Science and Medical Engineering,Southeast University,Nanjing,Jiangsu,China [5]Center for Intelligent Public Health,Institute for Artificial Intelligence,Peking University,Beijing,China [6]Center for Drug Abuse Control and Prevention,National Institute of Health Data Science,Peking University,Beijing,China
出 处:《China CDC weekly》2022年第7期120-125,I0001-I0011,共17页中国疾病预防控制中心周报(英文)
基 金:This work was supported by the National Key Research and Development Program of China[No.2020YFC0849200,2021YFC0863400];NSFC projects[No.72174004,91546203,91846302].
摘 要:Summary What is already known about this topic?Studies indicate that viruses could spread across species,but it is difficult to know when and where such small probability events occur because it is almost impossible to design an observational study on the whole landscape.What is added by this report?We did a comprehensive analysis on the National Center for Biotechnology Information database and tried to find the time,place,and host that the viruses stayed in their long evolutionary history.What are the implications for public health practice?Public databases are helpful to understand the risk of virus infection in humans and also a cost-effective method for monitoring public health and safety events.
分 类 号:TP311.13[自动化与计算机技术—计算机软件与理论]
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