Multi-syndrome analysis of time series using PCA: A new concept for outbreak investigation

Statistics in Medicine

Volumn 26, Issue 29, 2007, Pages 5203-5224

  Mohtashemi, Mojdeh ^a,b   Kleinman, Ken ^c,d   Yih, W Katherine ^c,d  

^a MITRE CORPORATION   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c HARVARD PILGRIM HEALTH CARE   (United States)

^d HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Early detection; Multi syndrome; Multivariate; Outbreak; Principal components analysis; Uni syndrome; Univariate

Indexed keywords

ARTICLE; DIARRHEA; GASTROINTESTINAL DISEASE; INFLUENZA; MULTIVARIATE ANALYSIS; NEUROLOGIC DISEASE; NONPARAMETRIC TEST; PNEUMONIA; PRINCIPAL COMPONENT ANALYSIS; RESPIRATORY TRACT DISEASE; SENSITIVITY ANALYSIS; SIMULATION; SYMPTOM; TIME SERIES ANALYSIS; VOMITING;

COMMUNICABLE DISEASES; DISEASE OUTBREAKS; DISEASE TRANSMISSION, HORIZONTAL; EARLY DIAGNOSIS; EPIDEMIOLOGIC MEASUREMENTS; HEALTH STATUS INDICATORS; HUMANS; MASSACHUSETTS; MODELS, STATISTICAL; PREDICTIVE VALUE OF TESTS; PRINCIPAL COMPONENT ANALYSIS; PUBLIC HEALTH INFORMATICS; SENSITIVITY AND SPECIFICITY; SENTINEL SURVEILLANCE; SPACE-TIME CLUSTERING; SYNDROME; SYSTEMS INTEGRATION; UNITED STATES;

EID: 37349050645     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2872     Document Type: Article

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