Early warning of epidemics: towards a national intelligent syndromic surveillance system (NISSS) in China.
Early warning of epidemics: towards a national intelligent syndromic surveillance system (NISSS) in China.
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DOI：
10.1136/bmjgh-2020-002925
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发表时间：
2020-10
影响因子：
8.1
通讯作者：
Yang S
中科院分区：
文献类型：
--
作者：
Jia P;Yang S
2003年非典疫情爆发后，建立有效的全国性疾病报告和监测系统的迫切需求在中国身上表现得再清楚不过了。由中国疾病预防控制中心运营的全国法定传染病报告系统(NNDRS)，也被称为疾病预防控制中国信息系统，于2004年建立，以促进疫情爆发期间完整和及时的病例报告。新冠肺炎的爆发进一步推动了对智能疾病报告系统的需求，该系统也被称为国家智能综合征监测系统，1该系统将能够在疾病得到临床和实验室确认之前，根据先验知识和实时信息对这些疑似病例进行分析。这样做可以在疫情爆发期间迅速应对疫情，甚至在早期准确而有力地预测疫情。但是，由于只有医院报告的疾病病例，因此仍然很难预测NISSS疫情的早期风险。需要从终端用户和其他外部来源输入更多新颖的信息。目前的技术使最终用户能够以至少七种方式报告或输入模块(图1)。首先，当前系统中最低级别的报告方(即医院和初级保健诊所)应该进一步向下延伸到医生，医生应该能够发布和收集他们看过或治疗过的疑似病例。医生直接看病人，通常对疑似病例更敏感，这可能会进一步减少目前NNDRS结构下的延误，该结构仅允许在专家小组确认后才允许医院管理部门报告潜在的疫情。这一点越来越重要，因为不仅新冠肺炎的爆发增加了这一迫切需求，而且当前的医疗改革正在将更多的把关角色向下转移到
After the SARS pandemic in 2003, an urgent demand for an effective national disease reporting and surveillance system could not be clearer in China. The National Notifiable Disease Reporting System (NNDRS) operated by the Chinese Center for Disease Control and Prevention (CDC), also known as the China Information System for Disease Control and Prevention, was established in 2004 to facilitate the complete and timely reporting of cases during the outbreak. The outbreak of the COVID-19 has further advanced the demand for an intelligent disease reporting system, also known as the national intelligent syndromic surveillance system (NISSS), 1 which would be able to analyse these suspected cases on the basis of prior knowledge and real-time information before a disease is confirmed clinically and in the laboratory. By doing so would tackle the epidemic quickly during the outbreak and even forecast the outbreak accurately and robustly at early stages.However, it remains difficult to forecast early risks for epidemics in the NISSS with only disease cases reported from hospitals. More novel information input from end users and other external sources is required. The current technology enables the end user reporting or input modules in at least seven manners (figure 1). First, the lowest level reporting parties in the current system (ie, hospitals and primary healthcare clinics) should go further down to doctors, who should be able to post and gather the suspected cases they have seen or treated. Doctors see patients directly and are generally more sensitive to suspected cases, which could further reduce the delay under the current NNDRS structure which only allows reporting the potential epidemic from the hospital administration after confirmation by expert panel. This is increasingly important because not only the COVID-19 outbreak added this urgent demand to this system, but the current healthcare reform is shifting more gatekeeper roles down to the
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影响因子：
10.4
作者：
Jia, Peng;Lakerveld, Jeroen;James, Peter
通讯作者：
James, Peter
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DOI：
10.1016/j.ijppaw.2019.10.001
发表时间：
2019-12-01
影响因子：
1.8
作者：
Xiao, Xiao;Qi, Rui;Yu, Xue-Jie
通讯作者：
Yu, Xue-Jie
影响因子：
7.4
作者：
Gu H;Chen B;Zhu H;Jiang T;Wang X;Chen L;Jiang Z;Zheng D;Jiang J
通讯作者：
Jiang J
影响因子：
4.6
作者：
Miotto R;Li L;Kidd BA;Dudley JT
通讯作者：
Dudley JT
DOI：
10.1016/s0140-6736(18)30486-0
发表时间：
2018-05-26
期刊：
Lancet (London, England)
影响因子：
--
作者：
Yang J;Siri JG;Remais JV;Cheng Q;Zhang H;Chan KKY;Sun Z;Zhao Y;Cong N;Li X;Zhang W;Bai Y;Bi J;Cai W;Chan EYY;Chen W;Fan W;Fu H;He J;Huang H;Ji JS;Jia P;Jiang X;Kwan MP;Li T;Li X;Liang S;Liang X;Liang L;Liu Q;Lu Y;Luo Y;Ma X;Schwartländer B;Shen Z;Shi P;Su J;Wu T;Yang C;Yin Y;Zhang Q;Zhang Y;Zhang Y;Xu B;Gong P
通讯作者：
Gong P