Predicting meningococcal disease outbreaks in structured populations

Statistics in Medicine

Volumn 23, Issue 6, 2004, Pages 927-945

  Ranta, Jukka ^a   Makela P H ^b   Arjas, E ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

^b NATIONAL PUBLIC HEALTH INSTITUTE   (Finland)

Author keywords

Asymptomatic carrier; Bayesian inference; Epidemic; Markov chain Monte Carlo; Meningitis; Prediction

Indexed keywords

ARMY; ARTICLE; COMPUTER ANALYSIS; CONTROLLED STUDY; DECISION MAKING; DISEASE CARRIER; DISEASE COURSE; EPIDEMIC; HUMAN; INFORMATION; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; MENINGOCOCCOSIS; METHODOLOGY; MONTE CARLO METHOD; NEISSERIA MENINGITIDIS; OBSERVATION; POPULATION RESEARCH; POPULATION STRUCTURE; PREDICTION; PROBABILITY; PROCESS MODEL; RELIABILITY; SCHOOL; STATISTICAL MODEL; TIME SERIES ANALYSIS;

DISEASE OUTBREAKS; FORECASTING; HUMANS; MALE; MARKOV CHAINS; MENINGITIS, MENINGOCOCCAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; NEISSERIA MENINGITIDIS;

EID: 1542715687     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1666     Document Type: Article

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