DocumentCode :
2225041
Title :
Research on the environmental impact factors of Hand-Foot-Mouth Disease in Shenzhen, China using RS and GIS technologies
Author :
Cao, Chunxiang ; Li, Guanghe ; Zheng, Sheng ; Cheng, Jinquan ; Lei, Guangchun ; Tian, Kun ; Wu, Yongsheng ; Xie, Xu ; Xu, Min ; Ji, Wei
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
7240
Lastpage :
7243
Abstract :
The outbreak of Hand-Foot-Mouth Disease (HFMD) has brought a serious threat to people´s health. There is no research considering both the natural and social environment to study the outbreak and propagation of HFMD quantitatively by now. In this study, we acquired environmental impact factors of HFMD using remote sensing and GIS. Then we analyzed the relationship between density of HFMD cases and environmental impact factors for year 2009 in Shenzhen. It was found that density of HFMD cases was significantly associated with population density, hospital density, road density, annual average of aerosol optical depth, and annual average of normalized difference vegetation index. A linear regression model was constructed with the R2 value of 0.677 using environmental impact factors, and both hospital density and annual average of aerosol optical depth were included in the model.
Keywords :
diseases; environmental factors; epidemics; geographic information systems; regression analysis; remote sensing; AD 2009; China; GIS technology; HFMD outbreak; HFMD propagation; Shenzhen; aerosol optical depth; environmental impact factors; geographic information systems; hand-foot-mouth disease; hospital density; linear regression model; normalized difference vegetation index; population density; remote sensing technology; road density; Diseases; Environmental factors; Hospitals; Remote sensing; Roads; Sociology; Statistics; Hand-Foot-Mouth Disease; Shenzhen; environmental impact factors; remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351991
Filename :
6351991
Link To Document :
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