中国媒介生物学及控制杂志 ›› 2019, Vol. 30 ›› Issue (4): 387-390.DOI: 10.11853/j.issn.1003.8280.2019.04.007

• 论著 • 上一篇    下一篇

国家重要监测数据整合平台的建设

岳玉娟, 吴海霞, 任东升, 王君, 刘起勇   

  1. 中国疾病预防控制中心传染病预防控制所, 传染病预防控制国家重点实验室, 北京 102206
  • 收稿日期:2019-02-26 出版日期:2019-08-20 发布日期:2019-08-20
  • 通讯作者: 刘起勇,Email:liuqiyong@icdc.cn
  • 作者简介:岳玉娟,女,博士,副研究员,从事"3S"技术与公共卫生研究,Email:yueyujuan@icdc.cn
  • 基金资助:
    国家重点研发计划(2016YFC1200802);传染病预防控制国家重点实验室项目(2018SKLID101)

Construction of a national important surveillance data integration latform

YUE Yu-juan, WU Hai-xia, REN Dong-sheng, WANG Jun, LIU Qi-yong   

  1. State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
  • Received:2019-02-26 Online:2019-08-20 Published:2019-08-20
  • Supported by:
    Supported by the National Key Research and Development Progran of China (No. 2016YFC1200802) and Project of State Key Laboratory of Infectious Disease Prevention and Control (No. 2018SKLID101)

摘要: 目的 开发国家重要监测数据整合平台。方法 基于数据的时空特征和生物学特征,采用J2EE(Java2平台企业版)体系的B/S(浏览器/服务器)架构设计和JAVA编程技术开发平台。结果 实现了多源、多尺度的重要病媒生物、重要病媒传染病、入侵动植物、病原微生物、生物安全组学等国家重要监测数据的查询与可视化平台开发,平台主要功能包括平台介绍、分类数据库查询可视化、数据整合查询可视化、登革热预测预警等功能。结论 国家重要监测数据整合平台的建设,有利于解决数据标准不一、管理分散、质量参差不齐等问题,有利于多部门、多单位之间数据交换和共享。

关键词: 时空特征, 生物学特征, 数据库, 数据整合, 平台

Abstract: Objective To construct a national important surveillance data integration platform. Methods Based on the spatio- temporal characteristics and biological characteristics of national important surveillance data, the B/S (browser/server) architecture design and JAVA programming technology development platform of J2EE (Java 2 Platform Enterprise Edition) system were adopted to construct this platform. Results A query and visualization platform of national important surveillance data such as multi-source and multi-scale important vector data, important vector-borne diseases, invasive animals and plants, pathogenic microorganisms, and biosafety profile was developed. The main functions of the platform included platform introduction, sub-database query and visualization, data integration query and visualization, and dengue fever prediction and early warning. Conclusion The construction of a national important surveillance data integration platform helps to solve problems such as different data standards, decentralized management, and uneven quality. It is conducive to better data exchange and sharing between multiple departments and multiple units.

Key words: Spatio-temporal characteristics, Biological characteristics, Database, Data integration, Platform

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