The EpiCanvas infectious disease weather map: an interactive visual exploration of temporal and spatial correlations

作     者：Gesteland, Per Hans Livnat, Yarden Galli, Nathan Samore, Matthew H. Gundlapalli, Adi V. 

作者机构：Univ Utah Sch Med Dept Biomed Informat Salt Lake City UT 84113 USA Intermt Healthcare Inst Hlth Care Delivery Res Salt Lake City UT USA Univ Utah Sci & Comp Imaging Inst Salt Lake City UT 84113 USA Univ Utah Sch Med Dept Internal Med Salt Lake City UT USA VA Salt Lake City Hlth Care Syst Salt Lake City UT USA Univ Utah Sch Med Dept Pediat Salt Lake City UT USA 

出 版 物：《JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION》 (美国医学信息学会志)

年 卷 期：2012年第19卷第6期

页      面：954-959页

核心收录：

学科分类：1205[管理学-图书情报与档案管理] 1204[管理学-公共管理] 1001[医学-基础医学(可授医学、理学学位)] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：US Army Medical Research and Materiel Command, Telemedicine and Advanced Technology Research Center (TATRC) [W81XWH0710699] CDC Rocky Mountain Center for Translational Research in Public Health Informatics Grant (CDC) [5P01HK000069] Agency for Healthcare Research and Quality [K08HS018538] 

主　　题：Biosurveillance correlation of data data display detecting disease outbreaks and biological threats developing/using clinical decision support (other than diagnostic) and guideline systems discovery human–computer interaction and human-centered computing improving healthcare workflow and process efficiency infectious disease outbreaks measuring/improving outcomes in specific conditions and patient subgroups methods for integration of information from disparate sources modeling physiological and disease processes other methods of information extraction public health surveillance simulation of complex systems (at all levels: molecules to work groups to organizations) statistical data analysis systems to support and improve diagnostic accuracy text and data mining methods visualization of data and knowledge 

摘      要：Advances in surveillance science have supported public health agencies in tracking and responding to disease outbreaks. Increasingly, epidemiologists have been tasked with interpreting multiple streams of heterogeneous data arising from varied surveillance systems. As a result public health personnel have experienced an overload of plots and charts as information visualization techniques have not kept pace with the rapid expansion in data availability. This study sought to advance the science of public health surveillance data visualization by conceptualizing a visual paradigm that provides an epidemiological canvas for detection, monitoring, exploration and discovery of regional infectious disease activity and developing a software prototype of an infectious disease weather map . Design objectives were elucidated and the conceptual model was developed using cognitive task analysis with public health epidemiologists. The software prototype was pilot tested using retrospective data from a large, regional pediatric hospital, and gastrointestinal and respiratory disease outbreaks were re-created as a proof of concept.