Advances in Computational Approaches for Geospatial Health Applications I

Type: Paper
Theme: Geography, GIScience and Health: Building an International Geospatial Health Research Network (IGHRN)
Sponsor Groups: Cyberinfrastructure Specialty Group, Spatial Analysis and Modeling Specialty Group, Health and Medical Geography Specialty Group
Poster #:
Day: 4/5/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Marshall South, Marriott, Mezzanine Level
Organizers: Alexander Hohl, Michael Desjardins, Claudio Owusu
Chairs: Alexander Hohl

Description

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. Fahui Wang (LSU), 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; mdesjar2@uncc.edu), Claudio Owusu (UNC-Charlotte; cowusu@uncc.edu), Alexander Hohl (Utica College; alhohl@utica.edu), and Marco Helbich (Utrecht University, m.helbich@uu.nl). Please note that we will not accept submissions after the AAG deadline.


Agenda

Type Details Minutes Start Time
Presenter Yan Lin*, Department of Geography & Environmental Studies, University of New Mexico, Sagert Sheets, Mid-Region Metropolitan Planning Organization, Mid-Region Council of Governments (New Mexico), Angela Davies, Department of Geography & Environmental Studies, University of New Mexico, Uncertainties in measuring spatial access to health care 20 8:00 AM
Presenter David Haynes*, University of Minnesota, Using GIS to Model Utilization of Breast Cancer Screening Services in Minnesota, 2010-2015 20 8:20 AM
Presenter Kevin Matthews*, Centers for Disease Control, Estimating spatially varying distance decay parameters in health care spatial accessibility studies 20 8:40 AM
Presenter Yuwen Sui*, , Measuring the disparity of spatial accessibility to hospital in Beijing with multiple transportation modes 20 9:00 AM
Discussant Fahui Wang Lousiana State University 20 9:20 AM

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