Rivers and flooded areas identified by medium-resolution remote sensing improve risk prediction of the highly pathogenic avian influenza H5N1 in Thailand

Geospatial Health

Volumn 8, Issue 1, 2013, Pages 193-201

  Thanapongtharm, Weerapong ^a,b   Van Boeckel, Thomas P ^b,c   Biradar, Chandrashekhar ^e   Xiao, Xiangming ^d   Gilbert, Marius ^b,c  

^a Center for Veterinary Epidemiology Development   (Thailand)

^b UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^c FNRS   (Belgium)

^d UNIVERSITY OF OKLAHOMA   (United States)

^e International Center for Agricultural Research in Dry Areas   (Jordan)

Author keywords

Flooding; Highly pathogenic avian influenza; Landsat; Remote sensing; Thailand

Indexed keywords

AGRICULTURE; ANIMAL; ARTICLE; AVIAN INFLUENZA; BIRD DISEASE; CHICKEN; DUCK; EPIDEMIC; FLOODING; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; INFLUENZA; INFLUENZA VIRUS A H5N1; POPULATION DENSITY; RISK ASSESSMENT; RISK FACTOR; RIVER; SATELLITE IMAGERY; STATISTICAL MODEL; THAILAND; VIROLOGY;

AGRICULTURE; ANIMALS; CHICKENS; DISEASE OUTBREAKS; DUCKS; FLOODS; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; INFLUENZA A VIRUS, H5N1 SUBTYPE; INFLUENZA IN BIRDS; INFLUENZA, HUMAN; MODELS, STATISTICAL; POPULATION DENSITY; POULTRY DISEASES; RISK ASSESSMENT; RISK FACTORS; RIVERS; SATELLITE IMAGERY; THAILAND;

EID: 84896534415     PISSN: 18271987     EISSN: 19707096     Source Type: Journal    
DOI: 10.4081/gh.2013.66     Document Type: Article

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