Number 1002 : February 2010 Bayesian Inference for Contact Networks Given Epidemic Data

@inproceedings{Groendyke2010Number1,
  title={Number 1002 : February 2010 Bayesian Inference for Contact Networks Given Epidemic Data},
  author={Chris Groendyke and David Welch and David R. Hunter},
  year={2010}
}
  • Chris Groendyke, David Welch, David R. Hunter
  • Published 2010
In this article, we estimate the parameters of a simple random network and a stochastic epidemic on that network using data consisting of recovery times of infected hosts. The SEIR epidemic model we fit has exponentially distributed transmission times with gamma distributed latent (exposed) and infective periods on a network where every tie exists with the same probability, independent of other ties. We employ a Bayesian framework and MCMC integration to make estimates of the joint posterior… CONTINUE READING