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用于空间模式检测的基于网络的地理信息系统:在越南疟疾发病率中的应用。

Web-based GIS for spatial pattern detection: application to malaria incidence in Vietnam.

作者信息

Bui Thanh Quang, Pham Hai Minh

机构信息

VNU University of Science, 334 Nguyen Trai, Hanoi, Vietnam.

Vietnam Institute of Geodesy and Cartography, 479 Hoang Quoc Viet, Hanoi, Vietnam.

出版信息

Springerplus. 2016 Jul 8;5(1):1014. doi: 10.1186/s40064-016-2518-5. eCollection 2016.

DOI:10.1186/s40064-016-2518-5
PMID:27441133
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4938832/
Abstract

INTRODUCTION

There is a great concern on how to build up an interoperable health information system of public health and health information technology within the development of public information and health surveillance programme. Technically, some major issues remain regarding to health data visualization, spatial processing of health data, health information dissemination, data sharing and the access of local communities to health information. In combination with GIS, we propose a technical framework for web-based health data visualization and spatial analysis.

METHODS

Data was collected from open map-servers and geocoded by open data kit package and data geocoding tools. The Web-based system is designed based on Open-source frameworks and libraries. The system provides Web-based analyst tool for pattern detection through three spatial tests: Nearest neighbour, K function, and Spatial Autocorrelation.

RESULTS

The result is a web-based GIS, through which end users can detect disease patterns via selecting area, spatial test parameters and contribute to managers and decision makers. The end users can be health practitioners, educators, local communities, health sector authorities and decision makers. This web-based system allows for the improvement of health related services to public sector users as well as citizens in a secure manner.

CONCLUSIONS

The combination of spatial statistics and web-based GIS can be a solution that helps empower health practitioners in direct and specific intersectional actions, thus provide for better analysis, control and decision-making.

摘要

引言

在公共信息和健康监测计划的发展过程中,如何构建一个公共卫生与健康信息技术可互操作的健康信息系统备受关注。从技术层面来看,在健康数据可视化、健康数据的空间处理、健康信息传播、数据共享以及当地社区获取健康信息等方面仍存在一些重大问题。结合地理信息系统(GIS),我们提出了一个基于网络的健康数据可视化和空间分析的技术框架。

方法

数据从开放地图服务器收集,并通过开放数据工具包和数据地理编码工具进行地理编码。基于网络的系统是基于开源框架和库设计的。该系统通过最近邻、K函数和空间自相关这三种空间测试,提供基于网络的模式检测分析工具。

结果

结果是一个基于网络的地理信息系统,终端用户可以通过选择区域、空间测试参数来检测疾病模式,并为管理人员和决策者提供信息。终端用户可以是医疗从业者、教育工作者、当地社区、卫生部门当局和决策者。这个基于网络的系统能够以安全的方式改善面向公共部门用户以及公民的健康相关服务。

结论

空间统计与基于网络的地理信息系统相结合,可以成为一种解决方案,有助于使医疗从业者在直接和特定的交叉行动中更有能力,从而实现更好的分析、控制和决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c5f/4938832/88527e5ee1f8/40064_2016_2518_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c5f/4938832/422c4f72a98f/40064_2016_2518_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c5f/4938832/98ed3e6822e5/40064_2016_2518_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c5f/4938832/b8e758ef2b5e/40064_2016_2518_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c5f/4938832/88527e5ee1f8/40064_2016_2518_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c5f/4938832/422c4f72a98f/40064_2016_2518_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c5f/4938832/98ed3e6822e5/40064_2016_2518_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c5f/4938832/b8e758ef2b5e/40064_2016_2518_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c5f/4938832/88527e5ee1f8/40064_2016_2518_Fig4_HTML.jpg

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