A remote sensing and GIS-assisted landscape epidemiology approach to West Nile virus

Applied Geography

Volumn 45, Issue , 2013, Pages 241-249

  Young, Sean G ^a   Tullis, Jason A ^a   Cothren, Jackson ^a  

^a UNIVERSITY OF ARKANSAS   (United States)

Author keywords

Disease prediction; Landscape epidemiology; Machine learning; Remote sensing; West Nile virus

Indexed keywords

DATA SET; DISEASE TRANSMISSION; ENVIRONMENTAL CONDITIONS; EPIDEMIOLOGY; ERROR ANALYSIS; GIS; MEDICAL GEOGRAPHY; REMOTE SENSING; VIRUS;

GREAT PLAINS; UNITED STATES;

EID: 84886779259     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2013.09.022     Document Type: Article

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