Application I: Spread of Influenza
Christiane Fuchs
Additional contact information
Christiane Fuchs: Helmholtz Zentrum München, Institute for Bioinformatics and Systems Biology
Chapter Chapter 8 in Inference for Diffusion Processes, 2013, pp 281-303 from Springer
Abstract:
Abstract As a first application of the methods introduced in the first two parts of this book, this chapter investigates the spread of human influenza. More precisely, it analyses a well-known dataset on an influenza outbreak in a British boarding school and the spatial spread of influenza in Germany during the season 2009/10, in which the swine flu virus was prevalent. In the latter example, spatial mixing of individuals is estimated from commuter data. Modelling is based on diffusion approximations derived in Chap. 5 . Statistical inference is carried out using a Bayesian approach developed in Chap. 7 .
Keywords: Synthetic Dataset; Contact Rate; Innovation Scheme; Infectious Period; Connectivity Matrix (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-25969-2_8
Ordering information: This item can be ordered from
http://www.springer.com/9783642259692
DOI: 10.1007/978-3-642-25969-2_8
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().