Detection of arbitrarily-shaped clusters using a neighbor-expanding approach: A case study on murine typhus in South Texas

International Journal of Health Geographics

Volumn 10, Issue , 2011, Pages

  Yao, Zhijun ^a   Tang, Junmei ^b   Zhan, F Benjamin ^c  

^a TEXAS STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^c WUHAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; CLUSTER ANALYSIS; DATA SET; DETECTION METHOD; DISEASE INCIDENCE; ETIOLOGY; HEALTH GEOGRAPHY; MAXIMUM LIKELIHOOD ANALYSIS; PERFORMANCE ASSESSMENT; SENSITIVITY ANALYSIS; SPATIAL ANALYSIS;

TEXAS; UNITED STATES;

MURINAE;

ANIMAL; ARTICLE; CASE CONTROL STUDY; CAT; CLUSTER ANALYSIS; COMPARATIVE STUDY; DEMOGRAPHY; DISEASE TRANSMISSION; HUMAN; MOUSE; RAT; TYPHUS; UNITED STATES;

ANIMALS; CASE-CONTROL STUDIES; CATS; CLUSTER ANALYSIS; HUMANS; MICE; RATS; RESIDENCE CHARACTERISTICS; TEXAS; TYPHUS, ENDEMIC FLEA-BORNE;

EID: 79953219823     PISSN: None     EISSN: 1476072X     Source Type: Journal    
DOI: 10.1186/1476-072X-10-23     Document Type: Article

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