shinyOPTIK

shinyOPTIK visualizes county-level and geographic cancer epidemiology and risk-factor data from the OPTIK database to enable spatial and temporal analysis of cancer risk factors and mortality across the University of Kansas Cancer Center bistate catchment area.

Key Features:

• OPTIK integration: Integrates the OPTIK database which aggregates and standardizes diverse datasets across the KU Cancer Center bistate catchment area and consolidates data at the county level.
• Implementation (R Shiny): Implemented in R Shiny with code components ui.R and server.R.
• Geographical visualization: Generates county-level geographical heatmaps to identify spatial patterns and disparities in cancer risk factors and mortality rates.
• Demographic and risk-factor plots: Produces bar plots for demographic information, screening practices, and various risk factors.
• Temporal trend plots: Produces line plots to visualize temporal trends across Rural-Urban Continuum Codes (RUCCs), rural-urban statuses, metropolitan areas, and county levels.
• Rural-urban disparity analyses: Includes post hoc visualizations that highlight rural-urban disparities in risk factors and outcomes.
• Open-source code: Distributed with open-source code to support transparency and reuse.

Scientific Applications:

• Spatial epidemiology: Analysis of spatial patterns and disparities in cancer risk factors and mortality across counties within the catchment area.
• Temporal trend analysis: Examination of changes over time in risk factors and outcomes across RUCCs, metropolitan areas, and counties.
• Risk-factor assessment: Evaluation of distributions and prevalence of risk factors such as adult obesity prevalence.
• Mortality surveillance: Monitoring and comparison of mortality metrics such as lung cancer mortality rates across geographic and rural-urban strata.

Methodology:

County-level data consolidation and dataset standardization from the OPTIK database, implemented in R Shiny (ui.R and server.R) and released as open-source code.