A climate-based model predicts the spatial distribution of the Lyme disease vector Ixodes scapularis in the United States

Environmental Health Perspectives

Volumn 111, Issue 9, 2003, Pages 1152-1157

  Brownstein, John S ^a   Holford, Theodore R ^a   Fish, Durland ^a  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Autologistic model; Climate matching; GIS; Habitat suitability; Ixodes scapularis; Landscape epidemiology; Lyme disease; Risk maps; Spatial analysis; Vector borne disease

Indexed keywords

ACCURACY; CLIMATE; CONTROLLED STUDY; DATA ANALYSIS; DISEASE CARRIER; ENVIRONMENTAL MONITORING; HUMAN; INFECTION RISK; IXODES SCAPULARIS; LYME DISEASE; POPULATION DISTRIBUTION; PREDICTION; PRIORITY JOURNAL; PROBABILITY; REVIEW; RISK ASSESSMENT; SENSITIVITY ANALYSIS; SPECIES DISTRIBUTION; SPECIES HABITAT; STATISTICAL MODEL; UNITED STATES;

ACARI; ARACHNIDA; HEXAPODA; IXODES; IXODES SCAPULARIS;

EID: 0042698846     PISSN: 00916765     EISSN: None     Source Type: Journal    
DOI: 10.1289/ehp.6052     Document Type: Review

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