4Kulldorff M, Rand K, Williams G. SaTScan, program for the space and time statistic. 1. 0 editor. Bethesda (MD) : National Cancer Institute, 1996.
5Martin K. SaTScan^TM user guide for version 7. 0. 2006. 8. http://www.satscan.org/.
6Pornpimol R, Ugsang DM, Visut B, et al. Use of a remote sensing-based geographic information system in the characterizing spatial patterns for anopheles minimus A and C breeding habitats in western Thailand. Southeast Asian J Trop Med Public Health, 2005,36(5) : 1145-1152.
7Omumbo JA, Hay SI, Goetz SJ, et al. Updating historical maps of malaria transmission intensity in east Africa using remote sensing. Photogrammetric Engineering & Remote Sensing, 2002,68(2) : 161-166.
8Jeffrey S, Marc S, Colin S, et al. Using a dynamic hydrology model to predict mosquito abundances in flood and swamp water. Emerg Infect Dis,2002,8( 1 ) :6-13.
9Aplwathnasorn C, Asavanieh A, Komalamisra N, et al. The relationship between the abundanee of Mansonia mosquitoes inhabiting a peat swamp forest and remotely sensed data, Southeast Asian J Trop Med Public Health, 2006,37 (3) : 463- 467.
10Nitatpattana N, Singhasivanon P, Kiyoshi H, et al. Potential association of dengue hemorrhagic fever incidence and remote senses land surface temperature, Thailand, 1998. Southeast Asian J Trop Med Public Health, 2007,38(3):427-433.