Literature DB >> 22749473

Bayesian hierarchical modeling of the dynamics of spatio-temporal influenza season outbreaks.

Andrew B Lawson1, Hae-Ryoung Song.   

Abstract

The analysis of influenza incidence in space and time is considered. A SIR model is proposed for the bi-weekly C+ notifications of lab confirmed influenza for the 2005 flu season. A variety of models are considered and the resulting goodness of fit and other diagnostics are considered.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 22749473     DOI: 10.1016/j.sste.2010.03.001

Source DB:  PubMed          Journal:  Spat Spatiotemporal Epidemiol        ISSN: 1877-5845


  2 in total

1.  Space-time covid-19 Bayesian SIR modeling in South Carolina.

Authors:  Andrew B Lawson; Joanne Kim
Journal:  PLoS One       Date:  2021-03-17       Impact factor: 3.240

2.  A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates.

Authors:  Peter Congdon
Journal:  J Geogr Syst       Date:  2022-04-26
  2 in total

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