A novel approach to real-time risk prediction for emerging infectious diseases: A case study in Avian Influenza H5N1

Preventive Veterinary Medicine

Volumn 91, Issue 1, 2009, Pages 19-28

  Jewell, C P ^a   Kypraios, T ^b   Christley, R M ^c   Roberts, G O ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^c UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Bayesian; Epidemic; Inference; Prediction; Reversible jump MCMC; Risk

Indexed keywords

ANIMAL; ANIMAL DISEASE; ARTICLE; AVIAN INFLUENZA; BAYES THEOREM; BIOLOGICAL MODEL; COMPUTER SIMULATION; EPIDEMIC; EPIDEMIOLOGY; GROWTH, DEVELOPMENT AND AGING; INFLUENZA VIRUS A H5N1; METHODOLOGY; MONTE CARLO METHOD; POULTRY; PROBABILITY; RISK ASSESSMENT; UNITED KINGDOM; VIROLOGY;

ANIMALS; BAYES THEOREM; COMPUTER SIMULATION; DISEASE OUTBREAKS; EPIDEMIOLOGIC METHODS; GREAT BRITAIN; INFLUENZA A VIRUS, H5N1 SUBTYPE; INFLUENZA IN BIRDS; MARKOV CHAINS; MODELS, BIOLOGICAL; MONTE CARLO METHOD; POULTRY; RISK ASSESSMENT;

AVES;

EID: 67650988880     PISSN: 01675877     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.prevetmed.2009.05.019     Document Type: Article

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