TY - JOUR
T1 - Where Should the Cancer Control Interventions Target
T2 - A Geospatial Hotspot Analysis for Major Cancer Mortality 2018 to 2022 in the United States
AU - Luo, Chongliang
AU - Khan, Saira
AU - Jin, Liyan
AU - James, Aimee S.
AU - Colditz, Graham A.
AU - Drake, Bettina F.
N1 - Publisher Copyright:
©2024 The Authors
PY - 2025/7/1
Y1 - 2025/7/1
N2 - Background: Identifying changes in geographic disparities of cancer mortality reveals locations where cancer prevention and control efforts should be focused/targeted. We use recent cancer surveillance data to demonstrate the geographic disparity of major cancer mortality rates in the United States and its shift compared with previous data. Methods: This cross-sectional study used the 2018 to 2022 county-level mortality rates of colorectal, lung, breast, and prostate cancers from the Centers for Disease Control mortality data. Counties with suppressed death counts were imputed by spatial regression models. Getis–Ord Gi* statistics were used to evaluate the spatial clustering of county mortality. Identified hotspot counties were visualized and compared with literature for hotspot pattern change. Results: A total of 3,108 US mainland counties were included. Cancer mortality rates were significantly higher in 244 counties for colorectal, 456 for lung, 147 for breast, and 180 for prostate cancers. Hotspot areas were central Appalachia (colorectal and lung cancers), Lower Mississippi Delta (colorectal, breast, and prostate cancers), Midwest (colorectal and lung cancers), north Michigan/Wisconsin (lung and prostate cancers), north Florida (lung cancer), and the West (prostate cancer). Conclusions: West central Appalachia and Lower Mississippi Delta continue to be hotspots for major cancer types, whereas previously identified eastern North Carolina/Virginia hotspots shrunk, east Oklahoma and North Florida emerged as new hotspots for lung cancer, and several hotspots emerged in the West for prostate cancer. Impact: This study updated the analyses for geospatial disparity in major cancer mortality since 2018, illustrating recent changes in the disparity pattern and pinpointing areas that cancer prevention and control efforts should target.
AB - Background: Identifying changes in geographic disparities of cancer mortality reveals locations where cancer prevention and control efforts should be focused/targeted. We use recent cancer surveillance data to demonstrate the geographic disparity of major cancer mortality rates in the United States and its shift compared with previous data. Methods: This cross-sectional study used the 2018 to 2022 county-level mortality rates of colorectal, lung, breast, and prostate cancers from the Centers for Disease Control mortality data. Counties with suppressed death counts were imputed by spatial regression models. Getis–Ord Gi* statistics were used to evaluate the spatial clustering of county mortality. Identified hotspot counties were visualized and compared with literature for hotspot pattern change. Results: A total of 3,108 US mainland counties were included. Cancer mortality rates were significantly higher in 244 counties for colorectal, 456 for lung, 147 for breast, and 180 for prostate cancers. Hotspot areas were central Appalachia (colorectal and lung cancers), Lower Mississippi Delta (colorectal, breast, and prostate cancers), Midwest (colorectal and lung cancers), north Michigan/Wisconsin (lung and prostate cancers), north Florida (lung cancer), and the West (prostate cancer). Conclusions: West central Appalachia and Lower Mississippi Delta continue to be hotspots for major cancer types, whereas previously identified eastern North Carolina/Virginia hotspots shrunk, east Oklahoma and North Florida emerged as new hotspots for lung cancer, and several hotspots emerged in the West for prostate cancer. Impact: This study updated the analyses for geospatial disparity in major cancer mortality since 2018, illustrating recent changes in the disparity pattern and pinpointing areas that cancer prevention and control efforts should target.
UR - https://www.scopus.com/pages/publications/105009832863
U2 - 10.1158/1055-9965.EPI-24-0957
DO - 10.1158/1055-9965.EPI-24-0957
M3 - Article
C2 - 39636168
AN - SCOPUS:105009832863
SN - 1055-9965
VL - 34
SP - 1074
EP - 1079
JO - Cancer Epidemiology Biomarkers and Prevention
JF - Cancer Epidemiology Biomarkers and Prevention
IS - 7
ER -