Web-GIS based SARS epidemic situation visualization
Identifieur interne : 005A43 ( Main/Exploration ); précédent : 005A42; suivant : 005A44Web-GIS based SARS epidemic situation visualization
Auteurs : XIAOLIN LU [République populaire de Chine]Source :
- SPIE proceedings series [ 1017-2653 ] ; 2004.
Descripteurs français
- Pascal (Inist)
- Epidémie, Réseau web, Prévention, Application médicale, Langage JAVA, Internet, Système information géographique, Radar ouverture synthétique, Visualisation donnée, Analyse information, Information visuelle, Severe acute respiratory syndrome (SRAS), Service web, Base donnée spatiale, Distribution donnée.
English descriptors
- KwdEn :
Abstract
In order to research, perform statistical analysis and broadcast the information of SARS epidemic situation according to the relevant spatial position, this paper proposed a unified global visualization information platform for SARS epidemic situation based on Web-GIS and scientific virtualization technology. To setup the unified global visual information platform, the architecture of Web-GIS based interoperable information system is adopted to enable public report SARS virus information to health cure center visually by using the web visualization technology. A GIS java applet is used to visualize the relationship between spatial graphical data and virus distribution, and other web based graphics figures such as curves, bars, maps and multi-dimensional figures are used to visualize the relationship between SARS virus tendency with time, patient number or locations. The platform is designed to display the SARS information in real time, simulate visually for real epidemic situation and offer an analyzing tools for health department and the policy-making government department to support the decision-making for preventing against the SARS epidemic virus. It could be used to analyze the virus condition through visualized graphics interface, isolate the areas of virus source, and control the virus condition within shortest time. It could be applied to the visualization field of SARS preventing systems for SARS information broadcasting, data management, statistical analysis, and decision supporting.
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000819
- to stream PascalFrancis, to step Curation: 000171
- to stream PascalFrancis, to step Checkpoint: 000739
- to stream Main, to step Merge: 005E90
- to stream Main, to step Curation: 005A43
Le document en format XML
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<country>République populaire de Chine</country>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Data distribution</term>
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<term>Internet</term>
<term>JAVA language</term>
<term>Medical application</term>
<term>Prevention</term>
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<term>Synthetic aperture radar</term>
<term>Visual information</term>
<term>Web service</term>
<term>World wide web</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Epidémie</term>
<term>Réseau web</term>
<term>Prévention</term>
<term>Application médicale</term>
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<term>Internet</term>
<term>Système information géographique</term>
<term>Radar ouverture synthétique</term>
<term>Visualisation donnée</term>
<term>Analyse information</term>
<term>Information visuelle</term>
<term>Severe acute respiratory syndrome (SRAS)</term>
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<front><div type="abstract" xml:lang="en">In order to research, perform statistical analysis and broadcast the information of SARS epidemic situation according to the relevant spatial position, this paper proposed a unified global visualization information platform for SARS epidemic situation based on Web-GIS and scientific virtualization technology. To setup the unified global visual information platform, the architecture of Web-GIS based interoperable information system is adopted to enable public report SARS virus information to health cure center visually by using the web visualization technology. A GIS java applet is used to visualize the relationship between spatial graphical data and virus distribution, and other web based graphics figures such as curves, bars, maps and multi-dimensional figures are used to visualize the relationship between SARS virus tendency with time, patient number or locations. The platform is designed to display the SARS information in real time, simulate visually for real epidemic situation and offer an analyzing tools for health department and the policy-making government department to support the decision-making for preventing against the SARS epidemic virus. It could be used to analyze the virus condition through visualized graphics interface, isolate the areas of virus source, and control the virus condition within shortest time. It could be applied to the visualization field of SARS preventing systems for SARS information broadcasting, data management, statistical analysis, and decision supporting.</div>
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