Ontology highlight
ABSTRACT: Introduction
Despite being almost entirely preventable, cervical cancer is the fourth most frequently diagnosed cancer among women worldwide. Cervical cancer incidence suggests missed opportunities for prevention. Geospatial analysis could strategically guide public health interventions. This study aimed to identify geographic clusters of cervical cancer incidence in Texas, a state with higher than national rates of cervical cancer incidence and mortality.Methods
In this population-based cross-sectional study, the authors analyzed incident cervical cancer data among Texas women aged 30-64 years, from 2014 to 2018. The authors conducted a purely spatial Poisson-based analysis function in SaTScan to examine geographic clusters of higher-than-expected proportions of cervical c
SUBMITTER: Sokale IO
PROVIDER: S-EPMC11260362 | biostudies-literature | 2024 Aug
REPOSITORIES: biostudies-literature