The picture of health: map-based, collaborative spatio-temporal disease tracking

Rongjian Lan, Michael D. Lieberman, H. Samet
{"title":"The picture of health: map-based, collaborative spatio-temporal disease tracking","authors":"Rongjian Lan, Michael D. Lieberman, H. Samet","doi":"10.1145/2452516.2452522","DOIUrl":null,"url":null,"abstract":"Disease outbreaks are intimately tied to geographic locations and to times, and as a result, health-related GIS along with open, Web-based data sources are increasingly crucial for public health. One such data source, ProMED-mail, offers disease reports distributed as email postings, along with locations and times of relevance. Locations are specified in text rather than in geometry, which necessitates a method for mapping textual locations to their spatial representations, called geotagging. To address this need, the previously-developed STEWARD system is leveraged for disease detection and tracking by geotagging ProMED-mail postings. While STEWARD was previously used in a disease tracking role, improvements to STEWARD are described including an innovative time slider that allows powerful and intuitive spatio-textual querying. Many additional future improvements for STEWARD and related systems are also discussed.","PeriodicalId":168309,"journal":{"name":"HealthGIS '12","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HealthGIS '12","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2452516.2452522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 34

Abstract

Disease outbreaks are intimately tied to geographic locations and to times, and as a result, health-related GIS along with open, Web-based data sources are increasingly crucial for public health. One such data source, ProMED-mail, offers disease reports distributed as email postings, along with locations and times of relevance. Locations are specified in text rather than in geometry, which necessitates a method for mapping textual locations to their spatial representations, called geotagging. To address this need, the previously-developed STEWARD system is leveraged for disease detection and tracking by geotagging ProMED-mail postings. While STEWARD was previously used in a disease tracking role, improvements to STEWARD are described including an innovative time slider that allows powerful and intuitive spatio-textual querying. Many additional future improvements for STEWARD and related systems are also discussed.
健康图景:基于地图的协同时空疾病追踪
疾病爆发与地理位置和时间密切相关,因此,与健康有关的地理信息系统以及基于web的开放数据源对公共卫生越来越重要。其中一个这样的数据源,ProMED-mail,提供以电子邮件形式发布的疾病报告,以及相关的地点和时间。位置是在文本中而不是在几何中指定的,这就需要一种将文本位置映射到它们的空间表示的方法,称为地理标记。为了满足这一需求,利用先前开发的STEWARD系统通过对promed邮件张贴进行地理标记来进行疾病检测和跟踪。虽然STEWARD以前用于疾病跟踪角色,但描述了对STEWARD的改进,包括创新的时间滑块,允许强大而直观的空间文本查询。还讨论了STEWARD和相关系统的许多其他未来改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信