Mapping rural-urban disparities in late-stage cancer with high-resolution rurality index and GWR

Effects of urban/rural residence on late-stage cancer have long been explored, but remained controversial. Spatial granularity of rural definition, temporal change of rurality, and local variability of such effects may contribute to inconsistent findings, but they have not been fully addressed. We proposed a spatially resolved and temporally comparable rurality index and a geographically weighted regression approach to re-examine this question. Taking Florida as an example, our analyses show that rural effects on late-stage cancer vary dramatically over locations (600-m cells). The odds ratios range from 0.9 to 1.10, and imply that one degree of rurality can increase/decrease local risk of late-stage cancer by up to 10%. Our study is an early attempt to explore local effects of rurality on cancer at a fine spatial scale, and reveals interesting patterns hidden by global multi-level analysis. The new framework and findings can better inform precision interventions to mitigate cancer disparities.