Small area disease mapping of cancer incidence in British Columbia using Bayesian spatial models and the smallareamapp R Package.

ABSTRACT:

Introduction

There is an increasing interest in small area analyses in cancer surveillance; however, technical capacity is limited and accessible analytical approaches remain to be determined. This study demonstrates an accessible approach for small area cancer risk estimation using Bayesian hierarchical models and data visualization through the smallareamapp R package.

Materials and methods

Incident lung (N = 26,448), female breast (N = 28,466), cervical (N = 1,478), and colorectal (N = 25,457) cancers diagnosed among British Columbia (BC) residents between 2011 and 2018 were obtained from the BC Cancer Registry. Indirect age-standardization was used to derive age-adjusted expected counts and standardized incidence ratios (SIRs) relative to provincial rates. Moran's I

SUBMITTER: Simkin J 

PROVIDER: S-EPMC9627310 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature