Small Area Disease Risk Estimation and Visualization Using R

Moraga-Serrano, Paula Esther (2018) Small Area Disease Risk Estimation and Visualization Using R. The R Journal, 10 (1). pp. 495-506. ISSN 2073-4859

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Abstract

Small area disease risk estimation is essential for disease prevention and control. In this paper, we demonstrate how R can be used to obtain disease risk estimates and quantify risk factors using areal data. We explain how to define disease risk models and how to perform Bayesian inference using the INLA package. We also show how to make interactive maps of estimates using the leaflet package to better understand the disease spatial patterns and communicate the results. We show an example of lung cancer risk in Pennsylvania, United States, in year 2002, and demonstrate that R represents an excellent tool for disease surveillance by enabling reproducible health data analysis.

Item Type:
Journal Article
Journal or Publication Title:
The R Journal
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800/1804
Subjects:
ID Code:
126071
Deposited By:
Deposited On:
22 Jun 2018 12:30
Refereed?:
Yes
Published?:
Published
Last Modified:
23 Sep 2020 04:24