Climate variability and hemorrhagic fever with renal syndrome transmission in northeastern China

Zhang, Wen-Yi, Guo, Wei-Dong, Fang, Li-Qun, Li, Chang-Ping, Bi, Peng, Glass, Gregory E., Jiang, Jia-Fu, Sun, Shan-Hua, Qian, Quan, Liu, Wei, Yan, Lei, Yang, Hong, Tong, Shi-Lu, & Cao, Wu-Chun (2010) Climate variability and hemorrhagic fever with renal syndrome transmission in northeastern China. Environmental Health Perspectives, 118(7), pp. 915-920.

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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.

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31 citations in Web of Science®
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ID Code: 39905
Item Type: Journal Article
Refereed: Yes
Keywords: China, Cross-correlation, Forecast, Hemorrhagic Fever with Renal Syndrome, Risk Factors, Time-series Poisson Regression
DOI: 10.1289/ehp.0901504
ISSN: 0091-6765
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Public Health & Social Work
Copyright Owner: Copyright 2010 US Department of Health and Human Services, National Institute of Environmental Health Sciences
Deposited On: 04 Feb 2011 04:09
Last Modified: 22 Feb 2013 05:37

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