Using remote sensing and geographic information systems to identify villages at high risk for rhodesiense sleeping sickness in Uganda

Transactions of the Royal Society of Tropical Medicine and Hygiene

Volumn 100, Issue 4, 2006, Pages 354-362

  Odiit, Martin ^a   Bessell, Paul R ^b   Fèvre, Eric M ^b   Robinson, Tim ^c   Kinoti, Jennifer ^d   Coleman, Paul G ^e   Welburn, Susan C ^b   McDermott, John ^d   Woolhouse, Mark E J ^b  

^a LIRI Hospital   (Uganda)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS   (Italy)

^d INTERNATIONAL LIVESTOCK RESEARCH INSTITUTE   (Kenya)

^e LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

Author keywords

Geographic information systems; Remote sensing; Rhodesiense sleeping sickness; Uganda

Indexed keywords

AFRICAN TRYPANOSOMIASIS; ARTICLE; CLASSIFICATION; CONTROLLED STUDY; DATA ANALYSIS; DENSITY; ENDEMIC DISEASE; GEOGRAPHIC INFORMATION SYSTEM; HIGH RISK POPULATION; HOSPITAL; HUMAN; INCIDENCE; INFECTION RISK; LOGISTIC REGRESSION ANALYSIS; NONHUMAN; POPULATION DENSITY; PREDICTION; REMOTE SENSING; SOIL MOISTURE; TRYPANOSOMA RHODESIENSE; UGANDA; VEGETATION;

ANIMALS; FORECASTING; GEOGRAPHIC INFORMATION SYSTEMS; GEOGRAPHY; HUMANS; POPULATION DENSITY; REGRESSION ANALYSIS; RISK FACTORS; SATELLITE COMMUNICATIONS; TRYPANOSOMA BRUCEI RHODESIENSE; TRYPANOSOMIASIS, AFRICAN; UGANDA;

TRYPANOSOMA BRUCEI RHODESIENSE;

EID: 31744443191     PISSN: 00359203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trstmh.2005.04.022     Document Type: Article

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