Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand
Submitted: 23 December 2014
Accepted: 23 December 2014
Published: 1 November 2006
Accepted: 23 December 2014
Abstract Views: 2501
PDF: 1359
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Code 610.2, NASA Goddard Space Flight Center, Greenbelt, Maryland, United States.
Science Systems Applications, Inc., Lanham, Maryland; Current address: RS Information Systems, Inc., Lanham, Maryland, United States.
Science Systems Applications, Inc., Lanham, Maryland; Current address: RS Information Systems, Inc., Lanham, Maryland, United States.
Science Systems Applications, Inc., Lanham, Maryland, United States.
Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Vector Borne Disease Training Center, Ministry of Public Health, Saraburi, Thailand.
Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
How to Cite
Kiang, R., Adimi, F., Soika, V., Nigro, J., Singhasivanon, P., Sirichaisinthop, J., Leemingsawat, S., Apiwathnasorn, C., & Looareesuwan, S. (2006). Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand. Geospatial Health, 1(1), 71–84. https://doi.org/10.4081/gh.2006.282
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