Abstract
The outbreak of Avian Influenza A (H5N1) infection has spread across all over the world from East-South Asia to Russia, Greece, Romania and Turkey. It will be important to find the transmission route and determine the environmental factor that affect the prevalence of avian influenza A virus. Based on the environmental parameters derived from remote sensing (RS) measurements and the avian influenza A (H5N1) infection case data in China during January 23, 2004 to February 24, 2004, the correlations between the outbreak of H5N1 avian influenza and the environmental parameters of the infected area, such as land surface temperature, was conducted using the spatial analysis abilities of GIS. The statistically significant association between the land use or land cover and outbreak of avian influenza A infection was found, i.e. about 86.4% of the 44 cases are in the cropland. Besides, by the buffering analysis, it is estimated that the vicinity at 50 km or so to main railways plays a key role in the spatial distribution of avian influenza A infection. Finally, we draw preliminary conclusion that the infection often outbreak in a certain range of land surface temperature etc probably due to in part the H5N1 virus implications.
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References
Brooker, S., Michael, E.: The potential of geographical information systems and remote sensing in the epidemiology and control of human helminth infections. In: Hay, S.I., Randolph, S.E., Rogers, D.J. (eds.) Advances in Parasitology, vol. 47. Academic Press, London (2000)
Tran Tinh Hien, M.D., Nguyen Thanh Liem, M.D., Nguyen Thi Dung, M.D., Luong Thi San, M.D., Pham Phuong Mai, M.D., et al.: Avian influenza A (H5N1) in 10 patients in Vietnam. England Journal of Medicine 350, 1179–1188 (2004)
Xue, Y., Cai, G.Y., Guan, Y.N., Tang, J.K.: Iterative self-consistent approach for earth surface temperature determination. International Journal of Remote Sensing 26(1), 185–192 (2005)
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Guo, J. et al. (2006). Preliminary Study of Avian Influenza A Infection Using Remote Sensing and GIS Techniques. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758532_2
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DOI: https://doi.org/10.1007/11758532_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34383-7
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