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Bayesian CAR models for syndromic surveillance on multiple data streams: Theory and practice
ArticleAbstract: Syndromic surveillance has, so far, considered only simple models for Bayesian inference. This paperPalabras claves:Bayes, CAR models, Gibbs distribution, Markov random field, Syndromic surveillanceAutores:Banks D., Datta G., Francisco Vera, Karr A.F., Lynch J., Niemi J.Fuentes:googlescopusBayesian methodology for the analysis of spatial-temporal surveillance data
ArticleAbstract: Early and accurate detection of outbreaks is one of the most important objectives of syndromic survePalabras claves:Conditional autoregressive process, Markov random field, Spatial statistics, Spatio-temporal, Syndromic surveillanceAutores:Banks D., Datta G., Francisco Vera, Heaton M.J., Karr A.F., Lynch J., Zou J.Fuentes:googlescopusA spatio-temporal absorbing state model for disease and syndromic surveillance
ArticleAbstract: Reliable surveillance models are an important tool in public health because they aid in mitigating dPalabras claves:Conditional autoregressive model, Hidden markov model, Hierarchical model, influenzaAutores:Banks D., Datta G., Francisco Vera, Heaton M.J., Karr A.F., Lynch J., Zou J.Fuentes:googlescopusGeneral convex stochastic orderings and related martingale-type structures
ArticleAbstract: Blackwell (1951), in his seminal work on comparison of experiments, ordered two experiments using aPalabras claves:Balayage, Generalized convexity, Iterated total time on test, k-mart, Stochastic orderingAutores:Francisco Vera, Lynch J.Fuentes:googlescopus