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Proceedings Paper

GIS-based epidemical disease information visualization
Author(s): Bisong Hu; Jianhua Gong; Jia Sun; Wuchun Cao; Liqun Fang
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Paper Abstract

In recent epidemical researches based on GIS, a great deal of studies focus on the data analysis and result deduction using spatial-temporal analysis, scientific visualization, etc. However, there are rare researches on information visualization of various epidemical diseases. This paper studied information visualization of epidemical disease attributes, distribution, and statistics based on GIS, designed a multi-scale and population-based epidemical spreading model by considering the influence of real geographical and demographic information, and implemented its information visualization. The epidemical influence of population immigration is also considered. This model is based on the traditional SEIRS model, and could be applied to the real epidemical spreading simulation on the basis of real epidemical, geographical, social, and demographic data.

Paper Details

Date Published: 3 November 2008
PDF: 12 pages
Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 71431J (3 November 2008); doi: 10.1117/12.812584
Show Author Affiliations
Bisong Hu, Institute of Remote Sensing Applications (China)
Jianhua Gong, Institute of Remote Sensing Applications (China)
Jia Sun, Institute of Remote Sensing Applications (China)
Wuchun Cao, Institute of Microbiology and Epidemiology (China)
Liqun Fang, Institute of Microbiology and Epidemiology (China)


Published in SPIE Proceedings Vol. 7143:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Aijun Chen, Editor(s)

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