TY - GEN
T1 - A Fine-grain Geospatial and Demographic Analysis of Breast Cancer Patterns in New York State
AU - Murphy, Fiona
AU - Abell-Hart, Kayley
AU - Wang, Fusheng
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Cancer impacts many people across New York State, with breast cancer being one type of cancer that is especially prevalent. Breast cancer can be detected through screening procedures, and if caught early in its development, has a higher likelihood of treatability and a less severe outcome. In order to better understand existing patterns of breast cancer throughout New York State, we conducted a geospatial and demographic analysis in which we sought to identify disparities in screening, diagnosis, and mortality rates across regions and demographic groups. Statistical analyses were completed using patient-level data from the New York Statewide Planning and Research Cooperative System (SPARCS) from 2005 to 2019, where demographic data including age, race, and ethnicity, as well as location-based data such as addresses were collected. Geospatial analysis results revealed clustering for screening and diagnosis rates in certain regions of the state, as well as hot spots. Results from the demographic analysis indicated temporal trends in cancer rates for various age, race, and ethnic groups, as well as a disparity in the mortality rates of breast cancer across race and ethnic groups.
AB - Cancer impacts many people across New York State, with breast cancer being one type of cancer that is especially prevalent. Breast cancer can be detected through screening procedures, and if caught early in its development, has a higher likelihood of treatability and a less severe outcome. In order to better understand existing patterns of breast cancer throughout New York State, we conducted a geospatial and demographic analysis in which we sought to identify disparities in screening, diagnosis, and mortality rates across regions and demographic groups. Statistical analyses were completed using patient-level data from the New York Statewide Planning and Research Cooperative System (SPARCS) from 2005 to 2019, where demographic data including age, race, and ethnicity, as well as location-based data such as addresses were collected. Geospatial analysis results revealed clustering for screening and diagnosis rates in certain regions of the state, as well as hot spots. Results from the demographic analysis indicated temporal trends in cancer rates for various age, race, and ethnic groups, as well as a disparity in the mortality rates of breast cancer across race and ethnic groups.
KW - breast cancer
KW - demographic
KW - geospatial
KW - health disparities
KW - mortality
UR - https://www.scopus.com/pages/publications/85125358977
U2 - 10.1109/BigData52589.2021.9671852
DO - 10.1109/BigData52589.2021.9671852
M3 - Conference contribution
AN - SCOPUS:85125358977
T3 - Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
SP - 5614
EP - 5619
BT - Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
A2 - Chen, Yixin
A2 - Ludwig, Heiko
A2 - Tu, Yicheng
A2 - Fayyad, Usama
A2 - Zhu, Xingquan
A2 - Hu, Xiaohua Tony
A2 - Byna, Suren
A2 - Liu, Xiong
A2 - Zhang, Jianping
A2 - Pan, Shirui
A2 - Papalexakis, Vagelis
A2 - Wang, Jianwu
A2 - Cuzzocrea, Alfredo
A2 - Ordonez, Carlos
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Big Data, Big Data 2021
Y2 - 15 December 2021 through 18 December 2021
ER -