空间信息技术和大数据技术在登革热风险评估系统中的应用
发布时间:2018-08-04 17:51
【摘要】:目的运用空间信息技术和大数据技术建设登革热风险评估系统,为实施疾病风险的快速评估提供信息化平台和科学依据。方法基于混合编程语言,结合Sa TScan、ENVI、Arc GIS等软件功能,采用二次开发方法开展风险评估系统的开发。结果成功研发了一套基于空间信息技术和大数据技术的登革热风险评估系统,并对系统的总体设计、功能模块和关键技术进行了详细介绍,系统的主要功能包括时空聚集探测、影响因素提取、风险评估、大数据分析和可视化;以2014年中国大陆登革热的爆发为应用案例,从全国、广东省和广州市三个尺度实现了登革热疫情的风险评估及相应专题产品的生产。结论该系统的建立为我国典型区域登革热风险的快速评估提供了全新的信息化平台,提高了登革热监测评估的自动化水平。
[Abstract]:Objective to establish a risk assessment system for dengue fever by using spatial information technology and big data technology to provide an information platform and scientific basis for the rapid assessment of disease risk. Methods based on the mixed programming language and the software functions such as sa TScan GIS, the second development method was used to develop the risk assessment system. Results A dengue risk assessment system based on spatial information technology and big data technology was successfully developed. The overall design, function modules and key technologies of the system were introduced in detail. The main functions of the system included spatio-temporal aggregation detection. Factor extraction, risk assessment, big data analysis and visualization; using the outbreak of dengue fever in mainland China in 2014 as an application case, Guangdong and Guangzhou achieved the risk assessment of dengue fever epidemic and the production of special products. Conclusion the establishment of the system provides a new information platform for the rapid assessment of dengue risk in typical regions of China and improves the automation level of dengue surveillance and assessment.
【作者单位】: 中国科学院测量与地球物理研究所环境与灾害监测评估湖北省重点实验室;中国科学院大学资源与环境学院;中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;
【基金】:国家重点研发计划(2016YFC1201301) 资源与环境信息系统国家重点实验室自主创新项目(088RA90BYA) 高分辨率对地观测系统重大专项应用共性技术(30-Y20A07-9003-17/18)
【分类号】:R512.8
本文编号:2164644
[Abstract]:Objective to establish a risk assessment system for dengue fever by using spatial information technology and big data technology to provide an information platform and scientific basis for the rapid assessment of disease risk. Methods based on the mixed programming language and the software functions such as sa TScan GIS, the second development method was used to develop the risk assessment system. Results A dengue risk assessment system based on spatial information technology and big data technology was successfully developed. The overall design, function modules and key technologies of the system were introduced in detail. The main functions of the system included spatio-temporal aggregation detection. Factor extraction, risk assessment, big data analysis and visualization; using the outbreak of dengue fever in mainland China in 2014 as an application case, Guangdong and Guangzhou achieved the risk assessment of dengue fever epidemic and the production of special products. Conclusion the establishment of the system provides a new information platform for the rapid assessment of dengue risk in typical regions of China and improves the automation level of dengue surveillance and assessment.
【作者单位】: 中国科学院测量与地球物理研究所环境与灾害监测评估湖北省重点实验室;中国科学院大学资源与环境学院;中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;
【基金】:国家重点研发计划(2016YFC1201301) 资源与环境信息系统国家重点实验室自主创新项目(088RA90BYA) 高分辨率对地观测系统重大专项应用共性技术(30-Y20A07-9003-17/18)
【分类号】:R512.8
【相似文献】
相关博士学位论文 前1条
1 赵令斋;登革病毒基因变异、病毒载量及机体固有免疫与登革热严重程度的相关性研究[D];广州医科大学;2017年
,本文编号:2164644
本文链接:https://www.wllwen.com/yixuelunwen/chuanranbingxuelunwen/2164644.html
最近更新
教材专著