Rivers and flooded areas identified by medium-resolution remote sensing improve risk prediction of the highly pathogenic avian influenza H5N1 in Thailand
Submitted: 15 December 2014
Accepted: 15 December 2014
Published: 1 November 2013
Accepted: 15 December 2014
Abstract Views: 1411
PDF: 897
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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
Bureau of Disease Control and Veterinary Services, Department of Livestock Development, Bangkok, Thailand; Biological Control and Spatial Ecology, Université Libre de Bruxelles, Brussels, Belgium.
Biological Control and Spatial Ecology, Université Libre de Bruxelles, Brussels; Fonds National de la Recherche Scientifique, Brussels, Belgium.
International Center for Agricultural Research in Dry Areas, Amman, Jordan.
Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, United States.
Biological Control and Spatial Ecology, Université Libre de Bruxelles, Brussels; Fonds National de la Recherche Scientifique, Brussels, Belgium.
How to Cite
Thanapongtharm, W., Van Boeckel, T. P., Biradar, C., Xiao, X., & Gilbert, M. (2013). Rivers and flooded areas identified by medium-resolution remote sensing improve risk prediction of the highly pathogenic avian influenza H5N1 in Thailand. Geospatial Health, 8(1), 193–201. https://doi.org/10.4081/gh.2013.66
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