Authors: Qinjin Fan*, University of Georgia
Topics: Spatial Analysis & Modeling, Geographic Information Science and Systems, Medical and Health Geography
Keywords: spatial analysis, geographic disparity, breast cancer, race/ethnicity, spatial epidemiology
Session Type: Paper
Start / End Time: 1:20 PM / 3:00 PM
Room: Estherwood, Sheraton, 4th Floor
Presentation File: No File Uploaded
Breast cancer is the most commonly diagnosed cancer among American women and is the second leading cause of cancer deaths after lung cancer. Understanding the distributive patterns of breast cancer patients in spatial, temporal, and attribute dimensions can help us to focus on fundamental factors or processes that lead to the patterns. This study aims to apply geospatial technology for the exploration and understanding of hidden patterns of breast cancer patients, and subsequently to examine how demographic, socioeconomic, environmental, as well as healthcare accessibility affect the distribution of breast cancer patients. Women diagnosed with invasive breast cancer during 2004 to current time are obtained from the National Cancer Data Base (NCDB). Analysis is conducted at the zip code level to investigate the spatial pattern of breast cancer patients with different stage at diagnose in the state of Georgia. We examine the pattern of breast cancer patients by different stage, racial/ethnic and age groups. Geographical analysis and visualization techniques, as well as spatial statistical methods are employed to explore the geographic pattern of breast cancer patients over the past 10 years of study period. The results will facilitate public health interventions, help improve resource allocation and provide impetus to further investigate possible disease causation.