Skip to main content
×
Home
    • Aa
    • Aa

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

  • H. XIAO (a1), L. D. GAO (a2), X. J. LI (a3), X. L. LIN (a1), X. Y. DAI (a1), P. J. ZHU (a1), B. Y. CHEN (a2), X. X. ZHANG (a4), J. ZHAO (a5) and H. Y. TIAN (a1)...
Abstract
SUMMARY

The transmission of haemorrhagic fever with renal syndrome (HFRS) is influenced by climatic, reservoir and environmental variables. The epidemiology of the disease was studied over a 6-year period in Changsha. Variables relating to climate, environment, rodent host distribution and disease occurrence were collected monthly and analysed using a time-series adjusted Poisson regression model. It was found that the density of the rodent host and multivariate El Niño Southern Oscillation index had the greatest effect on the transmission of HFRS with lags of 2–6 months. However, a number of climatic and environmental factors played important roles in affecting the density and transmission potential of the rodent host population. It was concluded that the measurement of a number of these variables could be used in disease surveillance to give useful advance warning of potential disease epidemics.

Copyright
Corresponding author
*Author for correspondence: Dr H. Y. Tian or Dr H. Xiao, College of Resources and Environment Science, Hunan Normal University, Changsha 410081, China. (Email: tianhuaiyu@gmail.com) [H. Y. Tian] (Email: xiaohong.hnnu@gmail.com) [H. Xiao]
Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

1. J Clement , A unifying hypothesis and a single name for a complex globally emerging infection: hantavirus disease. European Journal of Clinical Microbiology & Infectious Diseases 2012; 31: 15.

3. A Papa , B Bojovic , A Antoniadis . Hantaviruses in Serbia and Montenegro. Emerging Infectious Diseases 2006; 12: 10151018.

4. L Yan , Landscape elements and Hantaan virus-related hemorrhagic fever with renal syndrome, People's Republic of China. Emerging Infectious Diseases 2007; 13: 13011306.

5. L Fang , Spatial analysis of hemorrhagic fever with renal syndrome in China. BMC Infectious Diseases 2006; 6: 77.

6. LQ Fang , WJ Zhao , SJ de Vlas . Spatiotemporal dynamics of hemorrhagic fever with renal syndrome, Beijing, People's Republic of China. Emerging Infectious Diseases 2009; 15: 20432045.

7. L Wei , Using geographic information system-based ecologic niche models to forecast the risk of hantavirus infection in Shandong Province, China. American Journal of Tropical Medicine and Hygiene 2011; 84: 497503.

8. P Guan , 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. P Bi , 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: 276281.

10. J Clement , Relating increasing hantavirus incidences to the changing climate: the mast connection. International Journal of Health Geographics 2009; 8: 1.

12. ER Kallio , Cyclic hantavirus epidemics in humans – predicted by rodent host dynamics. Epidemics 2009; 1: 101107.

13. GE Glass , Persistently highest risk areas for hantavirus pulmonary syndrome: potential sites for refugia. Ecological Applications 2007; 17: 129139.

16. JD Tamerius , Climate and human health: synthesizing environmental complexity and uncertainty. Stochastic Environmental Research and Risk Assessment 2007; 21: 601613.

18. P Bi , Weather and notified Campylobacter infections in temperate and sub-tropical regions of Australia: an ecological study. Journal of Infection 2008; 57: 317323.

19. WY Zhang , Climate variability and hemorrhagic fever with renal syndrome transmission in Northeastern China. Environmental Health Perspectives 2010; 118: 915920.

21. WL Vickery , JR Bider . The influence of weather on rodent activity. Journal of Mammalogy 1981; 62: 140145.

22. LQ Fang , Spatiotemporal trends and climatic factors of hemorrhagic fever with renal syndrome epidemic in Shandong Province, China. PLoS Neglected Tropical Diseases 2010; 4: e789.

23. P Bi , Climatic, reservoir and occupational variables and the transmission of haemorrhagic fever with renal syndrome in China. International Journal of Epidemiology 2002; 31: 189193.

24. J Shaman , M. Kohn Absolute humidity modulates influenza survival, transmission, and seasonality. Proceedings of the National Academy of Sciences USA 2009,106: 32433248.

25. J Shaman , Absolute humidity and the seasonal onset of influenza in the continental United States. PLoS Biology 2010; 8: e1000316.

26. JF Viel , Environmental risk factors for haemorrhagic fever with renal syndrome in a French new epidemic area. Epidemiology and Infection 2010; 139: 867874.

27. S Ernest , JH Brown , RR Parmenter . Rodents, plants, and precipitation: spatial and temporal dynamics of consumers and resources. Oikos 2000; 88: 470482.

30. NC Stenseth , Plague dynamics are driven by climate variation. Proceedings of the National Academy of Sciences USA 2006; 103: 1311013115.

31. M Hashizume , T Terao , N Minakawa . The Indian Ocean Dipole and malaria risk in the highlands of western Kenya. Proceedings of the National Academy of Sciences USA 2009; 106: 18571862.

32. LF Chaves , M Pascual . Climate cycles and forecasts of cutaneous leishmaniasis, a nonstationary vector-borne disease. PLoS Medicine 2006; 3: e295.

33. JD Boone , Remote sensing and geographic information systems: charting Sin Nombre virus infections in deer mice. Emerging Infectious Diseases 2000; 6: 248258.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Epidemiology & Infection
  • ISSN: 0950-2688
  • EISSN: 1469-4409
  • URL: /core/journals/epidemiology-and-infection
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords:

Metrics

Full text views

Total number of HTML views: 1
Total number of PDF views: 8 *
Loading metrics...

Abstract views

Total abstract views: 71 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 23rd May 2017. This data will be updated every 24 hours.