DocumentCode :
2526394
Title :
Spatial regression analysis in hemorrhagic fever with renal syndrome (HFRS) in China
Author :
Feng, Xin ; Du, Shihong ; Shu, Hong
Author_Institution :
Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
fYear :
2011
fDate :
June 29 2011-July 1 2011
Firstpage :
77
Lastpage :
80
Abstract :
With spatial regression analysis, the cause of the hemorrhagic fever with renal syndrome (HFRS) is detected in China in 2008. The results showed that: the incidence of HFRS is influenced by six factors: latitude, longitude of regional centers, the proportion of settlement place, the proportion of grassland, average elevation, and the average precipitation in October and November. Among these factors, the incidence is correlated significantly and negatively with the proportion of settlement place, while is associated significantly and positively with latitude and longitude of regional centres.
Keywords :
diseases; geographic information systems; haemorheology; kidney; medical information systems; regression analysis; China; HFRS; hemorrhagic fever; renal syndrome; settlement place; spatial regression analysis; Analytical models; Correlation; Equations; Hemorrhaging; Mathematical model; Regression analysis; Robustness; epidemiology; hemorrhagic fever with renal syndrome; spatial error model; spatial lag model; spatial regression; spatial statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
Conference_Location :
Fuzhou
Print_ISBN :
978-1-4244-8352-5
Type :
conf
DOI :
10.1109/ICSDM.2011.5969008
Filename :
5969008
Link To Document :
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