Skip to main content
eScholarship
Open Access Publications from the University of California

From Data to Interactive Visualizations: A Tool for Modeling and Forecasting Longevity Across U.S. Subpopulations

Abstract

Longevity analysis provides valuable public health facts that can influence public policy, business decision-making, or new academic research directions. We must explore and interpret mortality data to gain these insights. This paper introduces a Longevity Forecasting Tool that we created with Shiny, an R package that facilitates interactive dashboard development. This tool showcases the use of Gaussian process regression for modeling mortality data. We use publicly available detailed mortality data from the Centers for Disease Control Wide-ranging Online Data for Epidemiologic Research (CDC WONDER). This tool uses interactive data visualizations to engage users to better understand the mortality experiences across several U.S. groups.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View