Bayesian outbreak detection in the presence of reporting delays

Biometrical Journal

Volumn 57, Issue 6, 2015, Pages 1051-1067

  Salmon, Maëlle ^a   Schumacher, Dirk ^a   Stark, Klaus ^a   Höhle, Michael ^b  

^a ROBERT KOCH INSTITUTE   (Germany)

^b STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

Bayesian inference; Infectious diseases; INLA; Reporting delays; Surveillance

Indexed keywords

BAYESIAN NETWORKS; DISEASES; INFERENCE ENGINES; REGRESSION ANALYSIS; SECURITY SYSTEMS;

BAYESIAN; BAYESIAN INFERENCE; DISEASE SURVEILLANCE; INFECTIOUS DISEASE; INLA; OUTBREAK DETECTION; REPORTING DELAY; SURVEILLANCE; SURVEILLANCE SYSTEMS; TIMES SERIES;

TIME SERIES;

ALGORITHM; BAYES THEOREM; BIOMETRY; DISEASE NOTIFICATION; EPIDEMIC; FACTUAL DATABASE; HUMAN; PHYSIOLOGY; PROCEDURES; SALMONELLA ENTERICA; SALMONELLA INFECTIONS; STATISTICS AND NUMERICAL DATA; TIME FACTOR;

ALGORITHMS; BAYES THEOREM; BIOMETRY; DATABASES, FACTUAL; DISEASE NOTIFICATION; DISEASE OUTBREAKS; HUMANS; SALMONELLA ENTERICA; SALMONELLA INFECTIONS; TIME FACTORS;

EID: 84944517197     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.201400159     Document Type: Article

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