A Spatio-Temporal Visualization and Clustering Analysis of Leukemia and Lymphoma in the United States — Presentation Detail — Celebration of Scholars

Instructions

Student presentations must have a faculty sponsor.

Abstracts must include a title and a description of the research, scholarship, or creative work. The description should be 150-225 words in length and constructed in a format or style appropriate for the presenter’s discipline.

The following points should be addressed within the selected format or style for the abstract:

A clear statement of the problem or question you pursued, or the scholarly goal or creative theme achieved in your work.
A brief comment about the significance or uniqueness of the work.
A clear description of the methods used to achieve the purpose or goals for the work.
A statement of the conclusions, results, outcomes, or recommendations, or if the work is still in progress, the results you expect to report at the event.

Presenter photographs should be head and shoulder shots comparable to passport photos.

Additional Information

More information is available at carthage.edu/celebration-scholars/. The following are members of the Research, Scholarship, and Creativity Committee who are eager to listen to ideas and answer questions:

Jun Wang
Kim Instenes
John Kirk
Nora Nickels
Andrew Pustina
James Ripley

A Spatio-Temporal Visualization and Clustering Analysis of Leukemia and Lymphoma in the United States

Name: Joseph Wonsil
Major: Computer Science, Geographic Information Science, and Environmental Science
Hometown: Royal Oak
Faculty Sponsor: Wenjie Sun
Other Sponsors:
Type of research: Independent research

Abstract

New cases of blood cancer are expected to account for 10.2% of the estimated 1,688,780 new cancer cases diagnosed in the US in 2017. Leukemia and Lymphoma are blood cancers that, although modern medical science has boosted survival rates, can still be deadly. Spatiotemporal exploratory mapping and clustering analyses were performed in this study to understand the spatial and temporal patterns of the cancers and explore potential risk factors. The Surveillance, Epidemiology, and End Results (SEER) Program hosts data regarding Leukemia and Lymphoma in the United States from 1973 to 2014. This dataset was visualized using a space-time cube, allowing for exploration in both of these dimensions. An Emerging Hot Spot analysis and Local Outlier Analysis were performed on the space-time cube. These analyses helped identify trends in hot and cold spots over time in the study area. These results were then visualized using interactive three-dimensional cartographic methods to best communicate the findings from an analysis featuring an extra dimension. Findings from this research shed light on the spatiotemporal dynamics of Leukemia and Lymphoma and offer insights for public health policies aimed at reducing blood cancers.

Poster file