NDLI: Spatial analysis of Influenza A H1N1 and evaluation of risk factors in Changsha City based on GIS

Content Provider	IEEE Xplore Digital Library
Author	Sha Jiang Jing Zhang Jia Jin Dapeng Zhang Tun Wang
Copyright Year	2011
Description	Author affiliation: Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University Beijing, China (Sha Jiang; Jing Zhang; Jia Jin; Dapeng Zhang; Tun Wang)
Abstract	Most traditional epidemiological studies are based on the statistical analysis rather than spatial information. Therefore, the study combining spatial analysis with epidemiology is a promising and perspective field. This paper, based on the technology of GIS, the method of disease mapping and traditional statistics, is focus on the spatial data of influenza A virus subtype H1N1. A spatial database of H1N1 flu in Changsha and the map of incidence rate are established to analyze the cause formation of accumulation areas combining with the spread characteristics. After spatial risk factors are explored, results show that these risk factors are correlated to incidence rate of H1N1 flu in Changsha. It has a huge significance to check out specific situation about Changsha region so as to provide more effective and protective measures though the scientific research method.
Starting Page	1
Ending Page	5
File Size	252781
Page Count	5
File Format	PDF
ISBN	9781612848495
ISSN	21610258
e-ISBN	9781612848488
DOI	10.1109/GeoInformatics.2011.5981050
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	GIS Interpolation Correlation Geographic Information Systems Spatial risk factors Influenza Cities and towns Spatial analysis Educational institutions Kernel H1N1
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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