刘起勇. 病媒生物监测预警研究进展[J]. 疾病监测, 2018, 33(2): 123-128. DOI: 10.3784/j.issn.1003-9961.2018.02.005
引用本文: 刘起勇. 病媒生物监测预警研究进展[J]. 疾病监测, 2018, 33(2): 123-128. DOI: 10.3784/j.issn.1003-9961.2018.02.005
Liu Qiyong. Research progress on the vector surveillance and early-warning[J]. Disease Surveillance, 2018, 33(2): 123-128. DOI: 10.3784/j.issn.1003-9961.2018.02.005
Citation: Liu Qiyong. Research progress on the vector surveillance and early-warning[J]. Disease Surveillance, 2018, 33(2): 123-128. DOI: 10.3784/j.issn.1003-9961.2018.02.005

病媒生物监测预警研究进展

Research progress on the vector surveillance and early-warning

  • 摘要: 病媒生物监测预警是其可持续精准控制的前提和基础,事关媒介生物传染病预防控制的成败。基于病媒生物阈值的定量评估和基于多学科模型的预测,已成为当前病媒生物监测预警最常用的方法。随着病媒生物鉴定和监测技术的发展,多学科研究方法的引入,伴随着大数据和云平台等新信息技术的兴起,病媒生物监测预警技术进一步得到提升,并向着基于多学科的综合模型构建和预警系统研发方向不断发展。本文就当前国内外病媒生物监测预警的策略、措施、方法、技术及未来发展趋势进行综述,为媒介生物传染病的科学防控提供参考依据。

     

    Abstract: The surveillance and early-warning of disease vectors is not only crucial to the sustainable and precise vector management,but also the key to the prevention and control of vector-borne diseases. Threshold-based quantitative assessment of vectors and multiple discipline based model prediction are the most commonly used methods of vectors early-warning. With the development of new identification and surveillance technique of disease vectors,the introduction of multidiscipline approaches,and the emerging of new information technology such as big data and cloud platform,the vector surveillance and early-warning towards the orientation of comprehensive models and early-warning systems. This review focus on the latest vectors surveillance and early-warning strategies,measures,techniques,and future directions so as to provide the reference basis of the prevention and control of vector-borne diseases.

     

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