Selected article for: "H1N1 influenza pandemic and influenza pandemic"
Author: Liu, Quan-Hui; Ajelli, Marco; Aleta, Alberto; Merler, Stefano; Moreno, Yamir; Vespignani, Alessandro
Title: Measurability of the epidemic reproduction number in data-driven contact networks
  • Document date: 2018_12_11
    • ID: 2eity73e_15
    Snippet: The calibration of layer-specific transmission rates is performed by using Markov chain Monte Carlo (MCMC) sampling applied to the binomial likelihoods (L) of the age-specific prevalence of H1N1 antibodies observed in the Italian population after the end of the 2009 H1N1 influenza pandemic [5] . We define Θ = (w h , w s , w w , w c ) to be the vector of parameters to be estimated by MCMC and the likelihood function as.....
    Document: The calibration of layer-specific transmission rates is performed by using Markov chain Monte Carlo (MCMC) sampling applied to the binomial likelihoods (L) of the age-specific prevalence of H1N1 antibodies observed in the Italian population after the end of the 2009 H1N1 influenza pandemic [5] . We define Θ = (w h , w s , w w , w c ) to be the vector of parameters to be estimated by MCMC and the likelihood function as

    Search related documents:
    Co phrase search for related documents
    • binomial likelihood and likelihood function: 1, 2, 3
    • binomial likelihood and Markov chain: 1
    • H1N1 antibody and influenza pandemic: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • Θ define and transmission rate: 1
    • influenza pandemic and italian population: 1, 2, 3, 4, 5
    • influenza pandemic and layer specific transmission rate: 1, 2
    • influenza pandemic and likelihood function: 1
    • influenza pandemic and transmission rate: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17
    • italian population and likelihood function: 1
    • layer specific transmission rate and transmission rate: 1, 2
    • likelihood function and Markov chain: 1, 2, 3, 4, 5, 6
    • likelihood function and transmission rate: 1
    • Markov chain and MCMC Markov chain Monte Carlo sampling: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
    • Markov chain and transmission rate: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21
    • MCMC Markov chain Monte Carlo sampling and transmission rate: 1