Enhanced spatial models for predicting the geographic distributions of tick-borne pathogens

International Journal of Health Geographics

Volumn 7, Issue , 2008, Pages

  Wimberly, Michael C ^a   Baer, Adam D ^a   Yabsley, Michael J ^b  

^a SOUTH DAKOTA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF GEORGIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY ASSESSMENT; AUTOCORRELATION; DISEASE SPREAD; DISEASE TRANSMISSION; ENVIRONMENTAL MODELING; GEOGRAPHICAL DISTRIBUTION; HEALTH GEOGRAPHY; INFECTIOUS DISEASE; PATHOGEN; PREDICTION; PUBLIC HEALTH; REGRESSION ANALYSIS; SPATIAL ANALYSIS; TICK;

ANAPLASMA PHAGOCYTOPHILUM; EHRLICHIA CHAFFEENSIS; IXODIDA;

ANAPLASMA PHAGOCYTOPHILUM; ANIMAL; ARTICLE; BAYES THEOREM; CLIMATE; CLUSTER ANALYSIS; COMMUNICABLE DISEASE; DEER; DISEASE CARRIER; DISEASE TRANSMISSION; EHRLICHIA CHAFFEENSIS; EHRLICHIOSIS; EPIDEMIOLOGY; GROWTH, DEVELOPMENT AND AGING; HUMAN; ISOLATION AND PURIFICATION; MICROBIOLOGY; PARASITE VECTOR; STATISTICAL MODEL; TICK; UNITED STATES;

ANAPLASMA PHAGOCYTOPHILUM; ANIMALS; ARTHROPOD VECTORS; BAYES THEOREM; CLIMATE; CLUSTER ANALYSIS; COMMUNICABLE DISEASES, EMERGING; DEER; DISEASE RESERVOIRS; EHRLICHIA CHAFFEENSIS; EHRLICHIOSIS; HUMANS; MODELS, STATISTICAL; SEROEPIDEMIOLOGIC STUDIES; TICKS; UNITED STATES;

EID: 43449108872     PISSN: None     EISSN: 1476072X     Source Type: Journal    
DOI: 10.1186/1476-072X-7-15     Document Type: Article

References (52)