现阶段传染病监测预警工作的重点、难点和优化思路

陈伟 任翔 耿梦杰 邓源 黄硕 刘才兄 王瑞瑶 陈钟鸣 王丽萍

陈伟, 任翔, 耿梦杰, 邓源, 黄硕, 刘才兄, 王瑞瑶, 陈钟鸣, 王丽萍. 现阶段传染病监测预警工作的重点、难点和优化思路[J]. 疾病监测, 2022, 37(6): 730-733. doi: 10.3784/jbjc.202203170107
引用本文: 陈伟, 任翔, 耿梦杰, 邓源, 黄硕, 刘才兄, 王瑞瑶, 陈钟鸣, 王丽萍. 现阶段传染病监测预警工作的重点、难点和优化思路[J]. 疾病监测, 2022, 37(6): 730-733. doi: 10.3784/jbjc.202203170107
Chen Wei, Ren Xiang, Geng Mengjie, Deng Yuan, Huang Shuo, Liu Caixiong, Wang Ruiyao, Chen Zhongming, Wang Liping. Priority, difficulties and optimization ideas of infectious disease surveillance and early warning at present stage[J]. Disease Surveillance, 2022, 37(6): 730-733. doi: 10.3784/jbjc.202203170107
Citation: Chen Wei, Ren Xiang, Geng Mengjie, Deng Yuan, Huang Shuo, Liu Caixiong, Wang Ruiyao, Chen Zhongming, Wang Liping. Priority, difficulties and optimization ideas of infectious disease surveillance and early warning at present stage[J]. Disease Surveillance, 2022, 37(6): 730-733. doi: 10.3784/jbjc.202203170107

现阶段传染病监测预警工作的重点、难点和优化思路

doi: 10.3784/jbjc.202203170107
基金项目: 国家自然科学基金(No. 91846302);山东省医药卫生科技发展计划(No. 2019WS247)
详细信息
    作者简介:

    陈伟,男,山东省临朐县人,硕士,副主任医师,主要从事疾病预防控制工作,Email:wfcdc-cw@163.com

    通讯作者:

    王丽萍,Tel:010–58900546,Email: wanglp@chinacdc.cn

  • 中图分类号: R211; R51

Priority, difficulties and optimization ideas of infectious disease surveillance and early warning at present stage

Funds: This study were supported by the foundation of National Natural Science Foundation of China (No. 91846302) and the fund for Medical Health Science and Technology Development Project of Shandong Province (No. 2019WS247)
More Information
  • 摘要: 传染病监测预警是我国疾病预防控制工作的重要内容之一。 本文简要回顾了我国传染病监测预警工作的发展历史,就如何增强早期监测预警能力,分析现阶段传染病监测预警工作的重点和难点,并提供相对应的优化思路,以期为传染病监测预警相关研究和实践提供参考。
  • [1] 杨维中, 兰亚佳, 吕炜, 等. 建立我国传染病智慧化预警多点触发机制和多渠道监测预警机制[J]. 中华流行病学杂志,2020,41(11):1753–1757. DOI:10.3760/cma.j.cn112338−20200722−00972.

    Yang WZ, Lan YJ, Lyu W, et al. Establishment of multi-point trigger and multi-channel surveillance mechanism for intelligent early warning of infectious diseases in China[J]. Chin J Epidemiol, 2020, 41(11): 1753–1757. DOI: 10.3760/cma.j.cn112338−20200722−00972.
    [2] 赵自雄, 赵嘉, 马家奇. 我国传染病监测信息系统发展与整合建设构想[J]. 疾病监测,2018,33(5):423–427. DOI:10.3784/j.issn.1003−9961.2018.05.016.

    Zhao ZX, Zhao J, Ma JQ. Conception of an integrated information system for notifiable disease communicable surveillance in China[J]. Dis Surveill, 2018, 33(5): 423–427. DOI: 10.3784/j.issn.1003−9961.2018.05.016.
    [3] 杨维中, 兰亚佳, 李中杰. 传染病预警研究回顾与展望[J]. 中华预防医学杂志,2014,48(4):244–247. DOI:10.3760/cnma.j.issn.0253−9624.2014.04.002.

    Yang WZ, Lan LJ, Li ZJ. Review and prospects of infectious disease early warning research[J]. Chin J Prev Med, 2014, 48(4): 244–247. DOI: 10.3760/cnma.j.issn.0253−9624.2014.04.002.
    [4] 祖荣强, 蔡衍珊, 秦鹏哲, 等. 利用综合医院门诊病例数据开展呼吸道疾病症候群监测的探讨[J]. 中华流行病学杂志,2010,31(5):554–558. DOI:10.3760/cma.j.issn.0254−6450.2010.05.018.

    Zu RQ, Cai YS, Qin PZ, et al. The feasibility of outpatient data used for respiratory syndromic surveillance in general hospital[J]. Chin J Epidemiol, 2010, 31(5): 554–558. DOI: 10.3760/cma.j.issn.0254−6450.2010.05.018.
    [5] 赖圣杰, 冯录召, 冷志伟, 等. 传染病暴发早期预警模型和预警系统概述与展望[J]. 中华流行病学杂志,2021,42(8):1330–1335. DOI:10.3760/cma.j.cn112338−20210512−00391.

    Lai SJ, Feng LZ, Leng ZW, et al. Summary and prospect of early warning models and systems for infectious disease outbreaks[J]. Chin J Epidemiol, 2021, 42(8): 1330–1335. DOI: 10.3760/cma.j.cn112338−20210512−00391.
    [6] Lim S, Tucker CS, Kumara S. An unsupervised machine learning model for discovering latent infectious diseases using social media data[J]. J Biomed Inform, 2017, 66: 82–94. DOI:  10.1016/j.jbi.2016.12.007.
    [7] Lai SJ, Ruktanonchai NW, Zhou LC, et al. Effect of non-pharmaceutical interventions to contain COVID-19 in China[J]. Nature, 2020, 585(7825): 410–413. DOI: 10.1038/s41586−020−2293−x.
    [8] Saththasivam J, El-Malah SS, Gomez TA, et al. COVID-19 (SARS-CoV-2) outbreak monitoring using wastewater-based epidemiology in Qatar[J]. Sci Total Environ, 2021, 774: 145608. DOI:  10.1016/j.scitotenv.2021.145608.
    [9] 王婧, 赵琦, 赵根明. 传染病监测和预警系统研究进展[J]. 中国预防医学杂志,2010,11(7):753–755. DOI:10.16506/j.1009−6639.2010.07.012.

    Wang J, Zhao Q, Zhao GM. Advances in infectious disease surveillance and early warning system research[J]. Chin Prev Med, 2010, 11(7): 753–755. DOI: 10.16506/j.1009−6639.2010.07.012.
    [10] 冯玮, 陶芳芳, 何永超, 等. 基于医院信息系统的严重临床异常病例/事件监测可行性研究[J]. 实用预防医学,2015,22(11):1290–1294. DOI:10.3969/j.issn.1006−3110.2015.011.003.

    Feng W, Tao FF, He YC, et al. Feasibility of severe clinical abnormal case/event surveillance based on hospital information system[J]. Pract Prev Med, 2015, 22(11): 1290–1294. DOI: 10.3969/j.issn.1006−3110.2015.011.003.
    [11] 林玫, 王鑫, 梁大斌. 症状监测在新发传染病和暴发疫情预警中应用的进展[J]. 中华预防医学杂志,2015,49(7):659–664. DOI:10.3760/cma.j.issn.0253−9624.2015.07.017.

    Lin M, Wang X, Liang DB. Advance in application of syndromic surveillance for detection of emerging infectious diseases and outbreak alerts[J]. Chin J Prev Med, 2015, 49(7): 659–664. DOI: 10.3760/cma.j.issn.0253−9624.2015.07.017.
    [12] 刘冬云, 赵自雄, 鲍一丹, 等. 我国疾病预防控制机构信息化人才队伍现状和问题分析[J]. 中华疾病控制杂志,2011,15(7):602–604.

    Liu DY, Zhao ZX, Bao YD, et al. The status and issues of health information professionals in the institutions of disease control and prevention in China[J]. Chin J Dis Control Prev, 2011, 15(7): 602–604.
    [13] 宋卫萍, 张鹏航, 李薇, 等. 新型冠状病毒肺炎疫情下北京市疾控系统人才队伍建设[J]. 首都公共卫生,2020,14(3):167–169. DOI: 10.16760/j.cnki.sdggws.2020.03.015.

    Song WP, Zhang PH, Li W, et al. Talent building in Beijing's CDC system under the novel coronavirus pneumonia outbreak[J]. Cap J Public Health, 2020, 14(3): 167–169. DOI:  10.16760/j.cnki.sdggws.2020.03.015.
    [14] 李言飞. 疾控机构信息化建设面临的主要问题分析和建议[J]. 中国卫生信息管理杂志,2020,17(1):77–81. DOI:10.3969/j.issn.1672−5166.2020.01.17.

    Li YF. Analysis of key problems in CDCs’ informatization and construction suggestions[J]. Chin J Health Inf Manag, 2020, 17(1): 77–81. DOI: 10.3969/j.issn.1672−5166.2020.01.17.
    [15] 赵自雄, 赵嘉. 全国疾病预防控制信息化建设基础能力抽样评估与结果分析[J]. 中国卫生信息管理杂志,2020,17(4):427–431. DOI:10.3969/j.issn.1672−5166.2020.04.05.

    Zhao ZX, Zhao J. Sampling evaluation and analysis of basic capacity for disease control and prevention informatization[J]. Chin J Health Inf Manag, 2020, 17(4): 427–431. DOI: 10.3969/j.issn.1672−5166.2020.04.05.
    [16] 杨富强, 宣舟斌, 张彦平, 等. 严重临床异常病例/事件监测医院和疾控机构工作人员知识、态度和行为调查[J]. 实用预防医学,2015,22(11):1294–1297. DOI:10.3969/j.issn.1006−3110.2015.011.004.

    Yang FQ, Xuan ZB, Zhang YP, et al. Monitoring-related knowledge, attitude and behavior of staff from hospitals and disease control and prevention facilities of severe clinical abnormal case/event surveillance[J]. Pract Prev Med, 2015, 22(11): 1294–1297. DOI: 10.3969/j.issn.1006−3110.2015.011.004.
    [17] 沈洪兵. 新型冠状病毒肺炎疫情后我国疾控机构改革发展需要思考的几个问题[J]. 中华流行病学杂志,2022,43(1):1–4. DOI:10.3760/cma.j.cn112338−20211218−00997.

    Shen HB. Rethinking of institutional reform and development of disease control and prevention system in post COVID-19 epidemic era in China[J]. Chin J Epidemiol, 2022, 43(1): 1–4. DOI: 10.3760/cma.j.cn112338−20211218−00997.
    [18] 林鸿波, 沈鹏, 孙烨祥, 等. 基于大数据建立传染病监测预警响应模式的探索与实践[J]. 中国卫生信息管理杂志,2020,17(4):416–421. DOI:10.3969/j.issn.1672−5166.2020.04.03.

    Lin HB, Shen P, Sun YX, et al. Exploration and practice of infectious disease surveillance and early warning and response mode based on big data[J]. Chin J Health Inf Manag, 2020, 17(4): 416–421. DOI: 10.3969/j.issn.1672−5166.2020.04.03.
    [19] 陈红光, 刘民. CiteSpaceⅡ在新发传染病研究领域的应用[J]. 中华流行病学杂志,2012,33(6):630–633. DOI:10.3760/cma.j.issn.0254−6450.2012.06.020.

    Chen HG, Liu M. Application of visualization on emerging infectious disease based on CiteSpace Ⅱ[J]. Chin J Epidemiol, 2012, 33(6): 630–633. DOI: 10.3760/cma.j.issn.0254−6450.2012.06.020.
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出版历程
  • 收稿日期:  2022-03-17
  • 网络出版日期:  2022-05-27
  • 刊出日期:  2022-07-14

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