Bayesian hierarchical Poisson models with a hidden Markov structure for the detection of influenza epidemic outbreaks

Statistical Methods in Medical Research

Volumn 24, Issue 2, 2015, Pages 206-223

  Conesa, D ^a   Martinez Beneito M A ^b   Amoros R ^b,c   Lopez Quilez A ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

^b Centro Superior de Investigacion en Salud Publica CSISP   (Spain)

^c UNIVERSIDAD CEU CARDENAL HERRERA   (Spain)

Author keywords

autoregressive modelling; Bayesian inference; hidden Markov models; influenza; public health; temporal surveillance

Indexed keywords

ARTICLE; BAYES THEOREM; CORRELATION COEFFICIENT; FLU LIKE SYNDROME; HIDDEN MARKOV MODEL; HUMAN; INCIDENCE; INFLUENZA; NORMAL DISTRIBUTION; POISSON DISTRIBUTION; PROBABILITY; SENTINEL SURVEILLANCE; BIOSTATISTICS; EPIDEMIC; INFLUENZA, HUMAN; INTERNET; MARKOV CHAIN; MONTE CARLO METHOD; SEARCH ENGINE; SPAIN; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

BAYES THEOREM; BIOSTATISTICS; DISEASE OUTBREAKS; EPIDEMICS; HUMANS; INCIDENCE; INFLUENZA, HUMAN; INTERNET; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; POISSON DISTRIBUTION; PROBABILITY; SEARCH ENGINE; SENTINEL SURVEILLANCE; SPAIN;

EID: 84927160022     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280211414853     Document Type: Article

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