Advanced computational capabilities that emerged through continuous technological and methodological developments have transformed many scientific disciplines, including the domain of health and medical geography. Today, scientists tackle computational challenges that used to be virtually impossible to solve, because 1) our ability to collect and store health-related data has improved substantially, and 2) analytical methods for solving scientific problems can now be applied on a massive scale. Therefore, the spatiotemporal analysis and modelling of health-related issues has experienced and driven fundamental changes.
The goal of this session is to create a platform for presenting and stimulate discussion of the accomplishments and remaining challenges of applying and developing computational methods that improve our understanding of health and medical geography. Session(s) organized via this CFP will be part of the AAG 2019 Special Theme on Geography, GIScience, and Health: Building an International Geospatial Health Research Network (IGHRN).
Topics may include, but are not limited to:
1. Disease mapping: spatial and/or spatiotemporal analysis and visualization;
2. Disparities in health care accessibility;
3. Stochastic methods for assessing the significance of observed disease patterns;
4. Spatially explicit and space-time disease modeling (retrospective or prospective);
5. The use of high-performance computing to analyze complex and massive spatiotemporal data for the discovery of relationships and patterns between health and environment;
6. Data science approaches, including statistics, data mining, and machine learning, to address issues within health and medical geography.
Sponsor Groups: Spatial Analysis and Modeling Specialty Group, Cyberinfrastructure Specialty Group, Health and Medical Geography Specialty Group
Discussants: Dr. Xun Shi (Dartmouth), Dr. Eric Delmelle (UNC-Charlotte)
If you are interested in joining this session, please email your PIN, title, abstract, and contact information to the following organizers: Michael R. Desjardins (UNC-Charlotte; firstname.lastname@example.org), Claudio Owusu (UNC-Charlotte; email@example.com), Alexander Hohl (Utica College; firstname.lastname@example.org), and Marco Helbich (Utrecht University, email@example.com). Please note that we will not accept submissions after the AAG deadline.
|Presenter||Marco Helbich*, Utrecht University, Going beyond the mean and linearity: A better way to understand green space-mental health associations?||20||3:05 PM|
|Presenter||Markku Tykkylainen*, University of Eastern Finland, Department of Geographical and Historical Studies, Mikko Pyykönen, University of Eastern Finland, Department of Geographical and Historical Studies, Sami Sieranoja, University of Eastern Finland, School of Computing, Pasi Fränti, University of Eastern Finland, School of Computing, Tiina Laatikainen, National Institute for Health and Welfare, Geospatial health as interdisciplinary research for health care reform and planning||20||3:25 PM|
|Presenter||Fahui Wang*, Lousiana State University, Tracy Onega, Geisel School of Medicine at Dartmouth, Automated Delineation of Cancer Service Areas in the Northeast Region of U.S.||20||3:45 PM|
|Presenter||Alastair Munro*, University of Nottingham, Long-Term Spatiotemporal Changes in Endemic Threshold Populations in England & Wales – A Multi-Disease Study||20||4:05 PM|
|Discussant||Xun Shi Dartmouth College||20||4:25 PM|
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