Climate variability and hemorrhagic fever with renal syndrome transmission in Northeastern China.
BACKGROUND
The transmission of hemorrhagic fever with renal syndrome (HFRS) is influenced by climatic variables. However, few studies have examined the quantitative relationship between climate variation and HFRS transmission.


OBJECTIVE
We examined the potential impact of climate variability on HFRS transmission and developed climate-based forecasting models for HFRS in northeastern China.


METHODS
We obtained data on monthly counts of reported HFRS cases in Elunchun and Molidawahaner counties for 1997-2007 from the Inner Mongolia Center for Disease Control and Prevention and climate data from the Chinese Bureau of Meteorology. Cross-correlations assessed crude associations between climate variables, including rainfall, land surface temperature (LST), relative humidity (RH), and the multivariate El Niño Southern Oscillation (ENSO) index (MEI) and monthly HFRS cases over a range of lags. We used time-series Poisson regression models to examine the independent contribution of climatic variables to HFRS transmission.


RESULTS
Cross-correlation analyses showed that rainfall, LST, RH, and MEI were significantly associated with monthly HFRS cases with lags of 3-5 months in both study areas. The results of Poisson regression indicated that after controlling for the autocorrelation, seasonality, and long-term trend, rainfall, LST, RH, and MEI with lags of 3-5 months were associated with HFRS in both study areas. The final model had good accuracy in forecasting the occurrence of HFRS.


CONCLUSIONS
Climate variability plays a significant role in HFRS transmission in northeastern China. The model developed in this study has implications for HFRS control and prevention.
Zhang
Wen-Yi
WY
Beijing Institute of Microbiology and Epidemiology, China.
Guo
Wei-Dong
WD
Fang
Li-Qun
LQ
Li
Chang-Ping
CP
Bi
Peng
P
Glass
Gregory E
GE
Jiang
Jia-Fu
JF
Sun
Shan-Hua
SH
Qian
Quan
Q
Liu
Wei
W
Yan
Lei
L
Yang
Hong
H
Tong
Shi-Lu
SL
Cao
Wu-Chun
WC
D002681:China / Q000453:epidemiology; D002980:Climate; D006480:Hemorrhagic Fever with Renal Syndrome / Q000453:epidemiology* / Q000635:transmission*; D006801:Humans; D006813:Humidity; D015994:Incidence; D008954:Models, Biological; D016012:Poisson Distribution; D011891:Rain; D012044:Regression Analysis; D013696:Temperature