Related Experiment Video
Updated: Feb 9, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Rural-Urban Disparities in Access to Breast Cancer Screening: A Spatial Clustering Analysis
Aastha Chandak1, Preethy Nayar2, Ge Lin3
1Analytica Laser, New York, New York.
Purpose:
The purpose of this study was to examine rural-urban differences in access to breast cancer screening in a predominantly rural Midwestern state in the United States.
Methods:
The study is a retrospective analysis of pooled cross-sectional data for the years 2008 to 2012. We conducted hot spot analyses of the rate of late-stage diagnosis of breast cancer at the census tract level in Nebraska for cases diagnosed between 2008 and 2012, using cancer registry data. We also conducted hot spot analyses of access to mammography facilities (distance to the nearest center) using data on mammography facilities from the US Food and Drug Administration and rates of screening using the National Private Insurance Claims data for year 2013.
Results:
The spatial clustering analyses found that urban areas in Nebraska had lower distances to mammography centers, higher screening rates and lower rates of late-stage diagnosis of breast cancer. Rural areas had higher distance to the mammography centers and higher rates of late-stage at diagnosis for breast cancer.
Conclusions:
The evidence from this study points to geographic disparities in access to screening for breast cancer. Mitigating the access issues that rural women face would require interventions specifically targeted to rural populations.
More Related Videos
10:10Long-term Culture of Human Breast Cancer Specimens and Their Analysis Using Optical Projection Tomography
Published on: July 29, 2011
11:34Building Up a High-throughput Screening Platform to Assess the Heterogeneity of HER2 Gene Amplification in Breast Cancers
Published on: December 5, 2017
Related Concept Videos
Cancer Survival Analysis
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Vesicular Tubular Clusters
With the help of motor proteins such...
Depth Perception and Spatial Vision
Genetic Screens
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
Cancer