[Forum SIS] Short course on "Temporal and spatio-temporal monitoring of infectious diseases"

[Emanuela Dreassi]

Carissimi,
vi informo che mercoledì 9 e giovedì 10 febbraio 2011
Michael Höhle
(Robert Koch Institute - Department for Infectious Disease Epidemiology, Berlin, Germany)
terrà presso il Dipartimento di Statistica dell'Università degli Studi di Firenze
un corso su modelli temporali e spazio-temporali per
la sorveglianza di malattie infettive.

Maggiori dettagli potete trovarli qui sotto.
Cordiali saluti,
Emanuela


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Short course on

Temporal and spatio-temporal monitoring of infectious diseases

held at the Department of Statistics “G. Parenti” University of Florence, Feb 9-10, 2011 (room 32)

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Course contents

Public health authorities have,
in an attempt to meet the threats of infectious diseases,
created comprehensive mechanisms for the collection of data on cases of infectious diseases.
The vast amounts of acquired data demand appropriate statistical methods describing the dynamics
and the development of algorithms for the automated detection of abnormalities.

This short course covers statistical aspects of how to model and monitor
routine collected surveillance data which, depending on the temporal and
spatial scale, can be seen as realizations of the following stochastic processes:

* discrete space - discrete time process, i.e. univariate or multivariate countdata time series
* discrete space - continuous time point processes
* continuous space - continuous time point processes

With a strong emphasis on the simplest structure - the univariate count data time series -
the course presents methods for the retrospective and prospective analysis.
An implementational aspect of the methods is given by applications using the R package 'surveillance'.

  

The structure of the short course will be as follows:

     1. Motivating examples: Why is there an interest in the modelling and monitoring of routine collected public health data.

    2. Overview of temporal surveillance and introduction to the R package 'surveillance'

    3. Specific treatment of Shewhart methods and CUSUM based methods for univariate surveillance.
       Among others this includes: The Farrington et al. (1996) procedure, Rossi et al. (1999), Höhle&  Paul (2008).

    4. Comparing univariate surveillance methods: empirical investigations and theoretical considerations

    5. Endemic-epidemic two component modelling: Three views in time and space-time

    6. Outlook: Towards multivariate surveillance - how to extend the known approaches?


The intended audience of the course are biostatisticians, epidemiologists and master students of these directions.
Prerequisites are knowledge of statistics up to a basic understanding of Poisson regression models,
the Poisson process and familiarity with R - a free software environment for statistical computing and graphics.


Speaker: Michael Höhle, Robert Koch Institute, Department for Infectious Disease Epidemiology, Berlin, Germany

Tutorials on R package: Annibale Biggeri, Dolores Catelan, Laura Grisotto,Department of Statistics “G. Parenti” University of Florence, Italy

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Practical information

Location:   

Seminar Room 32, Department of Statistics “G. Parenti” Viale Morgagni 59, Florence

Dates:

Wednesday 9 Feb 2011, from 9:00 to 16:30

Thursday 10 Feb 2011: from 9:10 to 16:30

For further information on course material such as literature, course slides and links please visit the course homepage located at:

http://www.statistik.lmu.de/~hoehle/courses/florence2011/

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-- 
Emanuela Dreassi
Dept. of Statistics "G. Parenti"
University of Florence
Viale G.B. Morgagni, 59
I 50134 Florence Italy
room 9
tel (+39) 0554237219
fax (+39) 0554223560
cel (+39) 3204209088
homepage www.ds.unifi.it/dreassi