Call for Abstracts: Spatial and Spatiotemporal Epidemiology Sessions at AAG 2014

Flyer:  Spatial and Spatiotemporal Epidemiology at AAG 2014

Several sessions around the theme of spatial and spatiotemporal epidemiology will be organized at the coming 2014 AAG Annual Meeting in Tampa, Florida (April 8-12). The sessions focus on the development of spatial and spatiotemporal methodology to answer fundamental epidemiological questions. Sample topics include:

°Spatiotemporal modeling
°Geovisualization and geocomputation for big data
°Point pattern analysis and disease movement analysis
°Use of geospatial techniques in health (GPS, GIS)
°Preventing the spread of disease
°Accessibility to medical care, estimating travel impedance
°Modeling uncertainty

If you would like to contribute to this stream of sessions, please submit your abstract online (http://www.aag.org/cs/annualmeeting).

Email Tijs Neutens (Tijs.Neutens@UGent.be)
or Eric Delmelle (eric.delmelle@uncc.edu) the title, abstract, author information and AAG PIN by October 15 2013 to be included in one of the sessions.
Contact information
Tijs Neutens (Tijs.Neutens@UGent.be)
University of Ghent, Belgium

Eric Delmelle (eric.delmelle@uncc.edu)
University of North Carolina, Charlotte

 

Co-organizers:
Mei-Pwo Kwan, University of Illinois at Urbana-Champaign
Antonio Paez, McMaster University, Canada
Debarchana Ghosh, University of Connecticut
Gerry Rushton, University of Iowa
Elisabeth Dowling Root, University of Colorado at Boulder
John DeGroote, University of Northern Iowa
Xun Shi, Dartmouth University
Chris Uejio, Florida State University
Brian Bossak, Florida Gulf Coast University

This entry was posted in Calls for Submission, Conferences, News, Opportunities, Uncategorized. Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s