SrasV1, Main, Exploration, bibRecord, 003323

Multivariate modelling of infectious disease surveillance data

Identifieur interne : 003323 ( Main/Exploration ); précédent : 003322; suivant : 003324

Multivariate modelling of infectious disease surveillance data

Auteurs : M. Paul [Suisse] ; L. Held [Suisse] ; A. M. Toschke [Royaume-Uni]

Source :

Statistics in Medicine [ 0277-6715 ] ; 2008-12-20.

RBID : ISTEX:CB0299712944E86A9645385D7E9F2D3834106914

Abstract

This paper describes a model‐based approach to analyse multivariate time series data on counts of infectious diseases. It extends a method previously described in the literature to deal with possible dependence between disease counts from different pathogens. In a spatio‐temporal context it is proposed to include additional information on global dispersal of the pathogen in the model. Two examples are given: the first describes an analysis of weekly influenza and meningococcal disease counts from Germany. The second gives an analysis of the spatio‐temporal spread of influenza in the U.S.A., 1996–2006, using air traffic information. Maximum likelihood estimates in this non‐standard model class are obtained using general optimization routines, which are integrated in the R package surveillance. Copyright © 2008 John Wiley & Sons, Ltd.

Url:

https://api.istex.fr/ark:/67375/WNG-1PK0T53H-Q/fulltext.pdf

DOI: 10.1002/sim.3440

Affiliations:

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Le document en format XML

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Multivariate modelling of infectious disease surveillance data

Multivariate modelling of infectious disease surveillance data

Source :

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri