Abstract 4211: Geospatial analyses identify hot spots of late-stage cervical cancer at diagnosis in Texas

Background: Women with advanced cervical cancer at diagnosis have higher morbidity and mortality. Despite advancements in prevention and early detection, cervical cancer care disparities persist by race/ethnicity and geographical distribution. We aimed to identify spatial clusters of late-stage cervical cancer at diagnosis in Texas, a state with a higher than national cervical cancer rate, especially among racial/ethnic minority populations.Methods: Incident cervical cancer data were obtained from the Texas Cancer Registry for women aged 18 years or older diagnosed from 2000 to 2018. First, we conducted purely spatial scan analysis using the SaTScan Bernoulli model to identify geographic clusters (hot spots and cold spots) of late-stage cervical cancer (vs. early-stage) at diagnosis. Maximum cluster size was set at 50% of the at-risk population, and statistical significance at p Citation Format: Itunu O. Sokale, Aaron P. Thrift, Abiodun O. Oluyomi. Geospatial analyses identify hot spots of late-stage cervical cancer at diagnosis in Texas. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4211.