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Evaluating Usability and Feasibility of Implementing a Novel Cancer Mapping Tool
Erin Wissler Gerdes1, Jinyi Cai1, Carly Mahoney1
1University of Iowa.
Research Square
|November 28, 2024
Summary
Cancer registries can now access reliable cancer data for small areas using the Cancer Analytics and Maps for Small Areas (CAMSA) tool. This visual analytics platform aids targeted cancer control planning and interventions.
Area of Science:
- Public Health
- Biostatistics
- Geographic Information Systems (GIS)
Background:
- Cancer registries face challenges in providing reliable data for small geographic areas.
- Accurate small-area cancer data is crucial for targeted interventions and prevention programs.
Purpose of the Study:
- To develop a method for computing and visualizing reliable cancer estimates for small geographic areas.
- To create a user-centered visual analytics platform for cancer data.
Main Methods:
- Employed a Bayesian hierarchical model to enhance data reliability by borrowing strength from neighboring areas and time.
- Developed an interactive visual analytics platform informed by user feedback from cancer registry and public health professionals.
Main Results:
- The Cancer Analytics and Maps for Small Areas (CAMSA) tool offers age-adjusted cancer rates and risk probabilities for counties and ZCTAs.
- CAMSA identifies cancer hotspots, including within specific demographic subgroups (sex, race/ethnicity).
- End users expressed enthusiasm for CAMSA's potential in local and state cancer control efforts.
Conclusions:
- CAMSA provides previously unavailable cancer rate and risk estimates for small geographic areas.
- The tool's user-informed design ensures statistical models and visualizations meet end-user needs for cancer control planning.
