Efficient mapping and geographic disparities in breast cancer mortality at the county-level by race and age in the U.S.
Journal
Spatial and Spatio-temporal Epidemiology
Journal Volume
5
Journal Issue
1
Pages
27-37
Date Issued
2013
Author(s)
Abstract
This study identified geographic disparities in breast cancer mortality across the U.S. using kriging to overcome unavailability of data because of confidentiality and reliability concerns. A structured additive regression model was used to detect where breast cancer mortality rates were elevated across nine divisions with 3109 U.S. counties during 1982-2004. Our analysis identified at least 25.8% of counties where breast cancer mortality rates were elevated. High-risk counties compared to lower-risk counties had higher relative risks for African American women than for White women. Greater geographic disparities more likely present in African American women and younger women. To sum up, our statistical approach reduced the impact of unavailable data, and identified the number and location of counties with high breast cancer mortality risk by race and age across the U.S. ? 2013 Elsevier Ltd.
Subjects
Breast cancer mortality; Geographic disparities; Kriging; Markov random fields; Structured additive regression model
SDGs
Other Subjects
adult; African American; aged; article; breast cancer; cancer mortality; cancer risk; Caucasian; female; geography; high risk population; human; major clinical study; priority journal; race; United States; Adult; Age Distribution; Aged; Aged, 80 and over; Breast Neoplasms; Continental Population Groups; Female; Geographic Mapping; Geography, Medical; Humans; Middle Aged; Models, Statistical; Regression Analysis; Spatial Analysis; United States
Type
journal article