Evaluating spatial surveillance: Detection of known outbreaks in real data

Statistics in Medicine

Volumn 25, Issue 5, 2006, Pages 755-769

  Kleinman, Ken ^a,c   Abrams, Allyson ^a   Yih, W Katherine ^a   Platt, Richard ^a,b   Kulldorff, Martin ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c NONE   (United States)

Author keywords

Evaluation; Permutation tests; Scan statistic; Spatial methods; Surveillance

Indexed keywords

ARTICLE; COMPUTER GRAPHICS; DISEASE SURVEILLANCE; EPIDEMIC; GASTROINTESTINAL DISEASE; GEOGRAPHIC DISTRIBUTION; GEOGRAPHIC INFORMATION SYSTEM; HEALTH STATISTICS; HUMAN; INFLUENZA; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; METHODOLOGY; MONTE CARLO METHOD; NULL HYPOTHESIS; PROBABILITY; PUBLIC HEALTH; RANDOMIZATION; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

DATA INTERPRETATION, STATISTICAL; DISEASE OUTBREAKS; GASTROINTESTINAL DISEASES; HUMANS; MINNESOTA; POPULATION SURVEILLANCE; SPACE-TIME CLUSTERING;

EID: 33644633570     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2402     Document Type: Article

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