Nowcasting influenza epidemics using non‐homogeneous hidden Markov models

Nowcasting influenza epidemics using non‐homogeneous hidden Markov models

Source :

• Statistics in Medicine [ 0277-6715 ] ; 2013-07-10.

English descriptors

• Teeft :
  • Activity state, Activity states, Algorithm, Available data, Bayesian, Bayesian approach, Bayesian inference, Carvalho, Carvalho table, Common part, Copyright, Countries upload, Covariates, Credible intervals, Current week, Diagonal matrix, Disease control, Disease surveillance, Early calculation, Early detection, Early estimate, Early information, Early observation, Early observations, Empirical knowledge, Entire data, Epidemic, Epidemic activity, Epidemic activity state, Epidemic period, Epidemic periods, Epidemic state, Epidemiological surveillance, European centre, European countries, European surveillance network, Family practice, Ffbs algorithm, Friday week, General practitioners, Generic terms, Gibbs algorithm, Gibbs sampler, Homogeneous model, Illness rate, Incidence rate, Incidence rates, Incomplete data, Initial distribution, Instituto nacional, Iteration, John wiley sons, Laboratorial component, Last panel, Lewis method, Logistic function, Main goal, Marginal likelihood, Markov, Markov chain, Markov chains, Markov model, Markov models, Matrix, Mcmc, Mcmc algorithm, Model parameters, Nasopharyngeal swabs, National health institute, Natural logarithm, Nonhomogeneous models, Normal distribution, Nowcast, Nowcasting, Nunes, Other hand, Oxford university press, Pandemic, Parameter, Portuguese surveillance system, Posterior distribution, Posterior probability, Present situation, Previous week, Prospective detection, Public health, Public health surveillance, Public health surveillance systems, Ricardo jorge, Same week, Sentinel networks, States sequence, Statist, Statistical methods, Surveillance, Surveillance data, Surveillance system, Surveillance systems, Time series, Timeliness, Total number, Transition probabilities, Wednesday week, Week figure, Week model, Weekly basis, Weekly number.

Abstract

• https://api.istex.fr/ark:/67375/WNG-R4FT5ZX7-Z/fulltext.pdf

Affiliations:

• Portugal

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