Evaluating satellite sensor-derived indices for lyme disease risk prediction

Journal of Medical Entomology

Volumn 43, Issue 2, 2006, Pages 337-343

  Rodgers, Sarah E ^a   Mather, Thomas N ^a  

^a UNIVERSITY OF RHODE ISLAND   (United States)

Author keywords

Greenness and wetness indices; Landsat TM data; Lyme disease; Remote sensing; Tick abundance

Indexed keywords

ANIMAL; ARTICLE; COMPARATIVE STUDY; GEOGRAPHIC INFORMATION SYSTEM; GEOGRAPHY; GROWTH, DEVELOPMENT AND AGING; INFESTATION; IXODES; LYME DISEASE; METHODOLOGY; MICROBIOLOGY; PARASITE VECTOR; POPULATION DENSITY; RISK ASSESSMENT; RISK FACTOR; STANDARD; TELECOMMUNICATION; UNITED STATES;

ANIMALS; ARACHNID VECTORS; GEOGRAPHIC INFORMATION SYSTEMS; GEOGRAPHY; IXODES; LYME DISEASE; POPULATION DENSITY; RHODE ISLAND; RISK ASSESSMENT; RISK FACTORS; SATELLITE COMMUNICATIONS; TICK INFESTATIONS;

ACARI; IXODES SCAPULARIS;

EID: 33751014881     PISSN: 00222585     EISSN: None     Source Type: Journal    
DOI: 10.1603/0022-2585(2006)043[0337:ESSIFL]2.0.CO;2     Document Type: Article

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