Geospatial Associations between Female Breast Cancer Mortality Rates and Environmental Socioeconomic Indicators for North Carolina

Alanna Burwell, Sean Kimbro and Timothy Mulrooney ()
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Alanna Burwell: Department of Pharmaceutical Sciences, North Carolina Central University, Durham, NC 27707, USA
Sean Kimbro: Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA
Timothy Mulrooney: Department of Environmental, Earth and Geospatial Sciences, North Carolina Central University, Durham, NC 27707, USA

IJERPH, 2023, vol. 20, issue 14, 1-14

Abstract: In North Carolina, over 6000 women will be diagnosed with breast cancer yearly, and over 1000 will die. It is well known that environmental conditions contribute greatly to health outcomes, and many of these factors include a geographic component. Using death data records from 2003–2019 extracted from North Carolina Vital Statistics Dataverse, a spatial database was developed to map and analyze female breast cancer mortality rates at the ZIP code scale in North Carolina. Thirty-nine hot spots and thirty cold spots of age-adjusted death rates were identified using the Getis–Ord analysis. Two-tailed t -tests were run between each cohort for environmental socioeconomic-related factors associated with breast cancer progression and mortality. The median age and household income of individuals who resided in ZIP codes with the highest breast cancer mortality were significantly lower than those who lived in ZIP codes with lower breast cancer mortality. The poverty rate, percentage of SNAP benefits, and the percentage of minorities were all significantly higher ( p < 0.05, p < 0.001, and p < 0.001) in ZIP codes with high breast cancer rates. High-quality (ZIP code) granular cancer data were developed for which detailed analysis can be performed for future studies.

Keywords: geospatial; breast cancer; socioeconomic; mortality; Geographic Information Systems (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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