[Study on the influence of landscape elements regarding on the transmission of hemorrhagic fever with renal syndrome in Changsha].
OBJECTIVE
To explore the influence of landscape elements on the transmission of hemorrhagic fever with renal syndrome (HFRS) in Changsha.


METHODS
A total of 327 cases of HFRS diagnosed between year 2005 - 2009 were recruited in the study. Based on the demographic data, meteorological data and the data of second national land survey during the same period, a GIS landscape elements database of HFRS at the township scale of Changsha was established. Spatial-temporal cluster analysis methods were adopted to explore the influence of landscape elements on the spatial-temporal distribution of HFRS in Changsha during the year of 2005 - 2009.


RESULTS
The annual incidences of HFRS in Changsha between year 2005 - 2009 were 1.16/100 000 (70 cases), 0.95/100 000 (58 cases), 1.40/100 000(87 cases), 0.75/100 000(47 cases) and 1.02/100 000(65 cases) respectively. The results of poisson regression model analysis of principal component showed that the incidence of HFRS was positively correlated with farmland area (M = 29.00 km2) and urban and rural area (M = 6.12 km2; incidence rate ratios (IRR) = 1.34, 95% CI: 1.27 - 1.41); but negatively correlated with forestland area (M = 39.00 km2; IRR = 0.67, 95% CI: 0.55 - 0.81) and garden plot area (M = 0.99 km2; IRR = 0.74, 95% CI: 0.63 - 0.86). A significant cluster of the spatial-temporal distribution of HFRS cases was found in the study. The primary cluster (28.9 N, 113.37 E, radius at 22.22 km, RR = 5.23, log likelihood ratio (LLR) = 51.61, P <0.01, 67 cases of HFRS and incidence at 4.4/100 000) was found between year 2006 and 2007; and the secondary cluster (28.2 N, 113.6 E, RR = 10.77, LLR = 16.01, P < 0.01, 11 cases of HFRS and the incidence at 10.6/100 000) was found between year 2008 and 2009.


CONCLUSIONS
The landscape elements were found to be closely related to the prevalence and transmission of HFRS.
College of Resources and Environment Science, Hunan Normal University, Changsha 410081, China. xiaohong.hnnu@gmail.com
Hong
H
Xiao
Huai-Yu
HY
Tian
Xiang-Yu
XY
Dai
Xiao-Ling
XL
Lin
Pei-Juan
PJ
Zhu
Li-Dong
LD
Gao
Bi-Yun
BY
Chen
Xi-Xing
XX
Zhang
D002681:China / Q000453:epidemiology; D002980:Climate; D040362:Geographic Information Systems; D006480:Hemorrhagic Fever with Renal Syndrome / Q000453:epidemiology / Q000635:transmission*; D006801:Humans; D012044:Regression Analysis; D013029:Space-Time Clustering