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将地理信息系统绘图用作公共卫生工具——从霍乱到癌症

Use of GIS Mapping as a Public Health Tool-From Cholera to Cancer.

作者信息

Musa George J, Chiang Po-Huang, Sylk Tyler, Bavley Rachel, Keating William, Lakew Bereketab, Tsou Hui-Chen, Hoven Christina W

机构信息

Child Psychiatric Epidemiology Group, Columbia University, New York State Psychiatric Group.

National Health Research Institutes, Taiwan, Republic of China (ROC).

出版信息

Health Serv Insights. 2013 Nov 19;6:111-6. doi: 10.4137/HSI.S10471. eCollection 2013.

Abstract

The field of medical geographic information systems (Medical GIS) has become extremely useful in understanding the bigger picture of public health. The discipline holds a substantial capacity to understand not only differences, but also similarities in population health all over the world. The main goal of marrying the disciplines of medical geography, public health and informatics is to understand how countless health issues impact populations, and the trends by which these populations are affected. From the 1990s to today, this practical approach has become a valued and progressive system in analyzing medical and epidemiological phenomena ranging from cholera to cancer. The instruments supporting this field include geographic information systems (GIS), disease surveillance, big data, and analytical approaches like the Geographical Analysis Machine (GAM), Dynamic Continuous Area Space Time Analysis (DYCAST), cellular automata, agent-based modeling, spatial statistics and self-organizing maps. The positive effects on disease mapping have proven to be tremendous as these instruments continue to have a great impact on the mission to improve worldwide health care. While traditional uses of GIS in public health are static and lacking real-time components, implementing a space-time animation in these instruments will be monumental as technology and data continue to grow.

摘要

医学地理信息系统(Medical GIS)领域在了解公共卫生的整体情况方面已变得极为有用。该学科不仅有很大能力了解世界各地人群健康的差异,也能了解其相似之处。将医学地理学、公共卫生学和信息学这几个学科结合起来的主要目标,是了解无数健康问题如何影响人群,以及这些人群受影响的趋势。从20世纪90年代至今,这种实用方法已成为分析从霍乱到癌症等医学和流行病学现象的一个有价值且不断进步的系统。支持该领域的工具包括地理信息系统(GIS)、疾病监测、大数据,以及诸如地理分析机器(GAM)、动态连续区域时空分析(DYCAST)、细胞自动机、基于主体建模、空间统计学和自组织映射等分析方法。随着这些工具继续对改善全球医疗保健的使命产生重大影响,它们对疾病绘图的积极作用已被证明是巨大的。虽然GIS在公共卫生中的传统用途是静态的且缺乏实时组件,但随着技术和数据不断发展,在这些工具中实现时空动画将具有重大意义。

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