Predicting case numbers during infectious disease outbreaks when some cases are undiagnosed

Statistics in Medicine

Volumn 26, Issue 1, 2007, Pages 171-183

  Glass, Kathryn ^a   Becker, Niels ^a   Clements, Mark ^a  

^a The Australian National University   (Australia)

Author keywords

Asymptomatic; Bayesian methods; Infectious diseases; Mathematical model; SARS

Indexed keywords

ARTICLE; BAYES THEOREM; CANADA; CONTROLLED STUDY; EPIDEMIC; HONG KONG; HUMAN; MATHEMATICAL MODEL; MONTE CARLO METHOD; PREDICTION; PROBABILITY; RELIABILITY; SEVERE ACUTE RESPIRATORY SYNDROME; SIMULATION; SINGAPORE; TAIWAN; VIRUS TRANSMISSION;

BAYES THEOREM; BIOMETRY; COMMUNICABLE DISEASES; DISEASE OUTBREAKS; HUMANS; LIKELIHOOD FUNCTIONS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; SEVERE ACUTE RESPIRATORY SYNDROME;

EID: 33846245483     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2523     Document Type: Article

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