Environmental variability and the transmission of haemorrhagic fever with renal syndrome in Changsha, People's Republic of China

Epidemiology and Infection

Volumn 141, Issue 9, 2013, Pages 1867-1875

  Xiao, H ^a   Gao, L D ^b   Li, X J ^c   Lin, X L ^a   Dai, X Y ^a   Zhu, P J ^a   Chen, B Y ^b   Zhang, X X ^d   Zhao, J ^e   Tian, H Y ^a  

^a HUNAN NORMAL UNIVERSITY   (China)

^b Hunan Provincial Center for Disease Control and Prevention   (China)

^c SHANDONG UNIVERSITY   (China)

^d Changsha Municipal Center for Disease Prevention and Control   (China)

^e PEKING UNIVERSITY HEALTH SCIENCE CENTER   (China)

Author keywords

China; cross correlation; environment variability; forecast; haemorrhagic fever with renal syndrome (HFRS); time series adjusted Poisson regression

Indexed keywords

RAIN;

ARTICLE; ATMOSPHERIC PRESSURE; CHINA; CLIMATE; CONTROLLED STUDY; CORRELATION ANALYSIS; DECISION MAKING; DISEASE TRANSMISSION; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL FACTOR; ENVIRONMENTAL PARAMETERS; FORECASTING; GEOGRAPHIC DISTRIBUTION; HEMORRHAGIC FEVER WITH RENAL SYNDROME; HUMAN; HUMIDITY; INDUSTRIAL AREA; MAJOR CLINICAL STUDY; NONHUMAN; PROBABILITY; RESIDENTIAL AREA; RODENT; RURAL AREA;

ANIMALS; CHINA; CLIMATE; DISEASE RESERVOIRS; ECOSYSTEM; GEOGRAPHY; HEMORRHAGIC FEVER WITH RENAL SYNDROME; HUMANS; MODELS, STATISTICAL; RISK FACTORS; RODENTIA;

EID: 84881457117     PISSN: 09502688     EISSN: 14694409     Source Type: Journal    
DOI: 10.1017/S0950268812002555     Document Type: Article

References (33)

1. Clement J, et al. A unifying hypothesis and a single name for a complex globally emerging infection : Hantavirus disease. European Journal of Clinical Microbiology & Infectious Diseases 2012; 31: 1-5.
2. Luo CW, Chen HX. Study on the factors influenced epidemic of hemorrhagic fever with renal syndrome [in Chinese]. Chinese Journal of Vector Biology and Control 2003; 14: 451-454.
3. Papa A, Bojovic B, Antoniadis A. Hantaviruses in Serbia and Montenegro. Emerging Infectious Diseases 2006; 12: 1015-1018. (Pubitemid 43848432)
4. Yan L, et al. Landscape elements and Hantaan virusrelated hemorrhagic fever with renal syndrome, People's Republic of China. Emerging Infectious Diseases 2007; 13: 1301-1306. (Pubitemid 47510290)
5. Fang L, et al. Spatial analysis of hemorrhagic fever with renal syndrome in China. BMC Infectious Diseases 2006; 6: 77.
6. Fang LQ, Zhao WJ, de Vlas SJ. Spatiotemporal dynamics of hemorrhagic fever with renal syndrome, Beijing, People's Republic of China. Emerging Infectious Diseases 2009; 15: 2043-2045.
7. Wei L, et al. Using geographic information systembased ecologic niche models to forecast the risk of hantavirus infection in Shandong Province, China. American Journal of Tropical Medicine and Hygiene 2011; 84: 497-503.
8. Guan P, et al. Investigating the effects of climatic variables and reservoir on the incidence of hemorrhagic fever with renal syndrome in Huludao City, China: A 17-year data analysis based on structure equation model. BMC Infectious Diseases 2009; 9: 109.
9. Bi P, et al. Seasonal rainfall variability, the incidence of hemorrhagic fever with renal syndrome, and prediction of the disease in low-lying areas of China. American Journal of Epidemiology 1998; 148: 276-281. (Pubitemid 28355347)
10. Clement J, et al. Relating increasing hantavirus incidences to the changing climate : The mast connection. International Journal of Health Geographics 2009; 8: 1.
11. Zhang WY, et al. Predicting the risk of hantavirus infection in Beijing, People's Republic of China. American Journal of Tropical Medicine and Hygiene 2009; 80: 678-683.
12. Kallio ER, et al. Cyclic hantavirus epidemics in humans-predicted by rodent host dynamics. Epidemics 2009; 1: 101-107.
13. Glass GE, et al. Persistently highest risk areas for hantavirus pulmonary syndrome: Potential sites for refugia. Ecological Applications 2007; 17: 129-139. (Pubitemid 46596864)
14. Fu JR, et al. Monitor and analysis of hemorrhagic fever with renal syndrome in Changsha county, Hunan province from 1991 to 2002 [in Chinese]. Chinese Journal of Epidemiology 2003; 24: 751.
15. Chinese Ministry of Health. Handbook of Epidemic Hemorrhagic Fever Prevention and Control. Beijing : China People's Health Publishing House, 1998.
16. Tamerius JD, et al. Climate and human health : Synthesizing environmental complexity and uncertainty. Stochastic Environmental Research and Risk Assessment 2007; 21: 601-613. (Pubitemid 47023722)
17. Chatfield C. The Analysis of Time Series : Theory and Practice. London: Chapman & Hall, 1975.
18. Bi P, et al. Weather and notified Campylobacter infections in temperate and sub-tropical regions of Australia : An ecological study. Journal of Infection 2008; 57: 317-323.
19. Zhang WY, et al. Climate variability and hemorrhagic fever with renal syndrome transmission in Northeastern China. Environmental Health Perspectives 2010; 118: 915-920.
20. Dupont W. Statistical Modeling for Biomedical Researchers. Cambridge: Cambridge University Press, 2002.
21. Vickery WL, Bider Jr. The influence of weather on rodent activity. Journal of Mammalogy 1981; 62: 140-145.
22. Fang LQ, et al. Spatiotemporal trends and climatic factors of hemorrhagic fever with renal syndrome epidemic in Shandong Province, China. PLoS Neglected Tropical Diseases 2010; 4: E789.
23. Bi P, et al. Climatic, reservoir and occupational variables and the transmission of haemorrhagic fever with renal syndrome in China. International Journal of Epidemiology 2002; 31: 189-193. (Pubitemid 34284926)
24. Shaman J, Kohn M. Absolute humidity modulates influenza survival, transmission, and seasonality. Proceedings of the National Academy of Sciences USA 2009,106: 3243-3248.
25. Shaman J, et al. Absolute humidity and the seasonal onset of influenza in the continental United States. PLoS Biology 2010; 8: E1000316.
26. Viel JF, et al. Environmental risk factors for haemorrhagic fever with renal syndrome in a French new epidemic area. Epidemiology and Infection 2010; 139: 867-874.
27. Ernest S, Brown JH, Parmenter RR. Rodents, plants, and precipitation : Spatial and temporal dynamics of consumers and resources. Oikos 2000; 88: 470-482. (Pubitemid 30152700)
28. Huang RH, Wu YF. The influence of ENSO on the summer climate change in China and its mechanism. Advances in Atmospheric Sciences 1989; 6: 21-32.
29. Bi P, Parton KA. El Nino and incidence of hemorrhagic fever with renal syndrome in China. Journal of the American Medical Association 2003; 289: 176-177. (Pubitemid 36068702)
30. Stenseth NC, et al. Plague dynamics are driven by climate variation. Proceedings of the National Academy of Sciences USA 2006; 103: 13110-13115. (Pubitemid 44338924)
31. Hashizume M, Terao T, Minakawa N. The Indian Ocean Dipole and malaria risk in the highlands of western Kenya. Proceedings of the National Academy of Sciences USA 2009; 106: 1857-1862.
32. Chaves LF, Pascual M. Climate cycles and forecasts of cutaneous leishmaniasis, a nonstationary vector-borne disease. PLoS Medicine 2006; 3: E295.
33. Boone JD, et al. Remote sensing and geographic information systems : Charting Sin Nombre virus infections in deer mice. Emerging Infectious Diseases 2000; 6: 248-258. (Pubitemid 30396380)