DocumentCode :
2706050
Title :
Design and implementation of spatial database system for seasonal influenza
Author :
Ren, Yuhuan ; Liu, Zhumei ; Hu, Leiqiu ; Liu, Yalan
Author_Institution :
State Environ. Protection Key Lab. of Satellite Remote Sensing, Chinese Acad. of Sci., Beijing, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
6
Abstract :
To explore the relationship between seasonal influenza and the environment, the principal task is to make data on influenza and environment for effective management. This paper focuses on the design and implementation of spatial database system for seasonal influenza in mainland China. Firstly, it proposed the influential environmental factors for seasonal influenza and collected the influenza surveillance data from China Influenza Surveillance System and relevant environmental data by remote sensing as well as meteorological monitoring. Then, it introduced the schema and technological processes of influenza spatial database systems. It took ArcSDE and Oracle 9i as the database platforms and adopted three-layer development model. Finally, it realized the system by programming in the C# environment with ArcEngine. The database system provides uniform spatial reference for spatial analysis of seasonal influenza and environmental factors, which is a basis for influenza-environmental modeling and influenza epidemic early-alerting.
Keywords :
biology computing; environmental factors; environmental science computing; remote sensing; visual databases; ArcEngine; ArcSDE; China influenza surveillance system; Oracle 9i; environmental factors; influenza spatial database systems; meteorological monitoring; remote sensing; seasonal influenza; Data models; Database systems; Environmental factors; Influenza; Spatial databases; Surveillance; Oracle; environmental factor; remote sensing; seasonal influenza; spatial database;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980703
Filename :
5980703
Link To Document :
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