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Spatial Analysis for Determining Sociodemographic and Landscape Covariates Geospatially Associated with Prostate Cancer Prevalence in Hillsborough County, Florida.
EP27198
Poster Title: Spatial Analysis for Determining Sociodemographic and Landscape Covariates Geospatially Associated with Prostate Cancer Prevalence in Hillsborough County, Florida.
Submitted on 07 Feb 2018
Author(s): Mmadili Ilozumba, Toni Panaou, Fahad Mukhtar, Nnadozie Emechebe, Samuel Alao, Benjamin Jacob
Affiliations: University of South Florida
This poster was presented at USF Research Day 2018
Poster Views: 635
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Poster Information
Abstract: Although linear and non-linear regression models have been constructed to determine covariates associated with prevalence for many chronic infections, they have been underutilized in prostate cancer research at the county level. In this analysis, we constructed a multivariate linear regression model and a first-order Durbin-Watson autocorrelation model for Hillsborough County in Florida. In so doing, we were able to quantitate a linear estimate (median household income) at an alpha level of 0.05. In the spatial probabilistic paradigm, we were able to determine clustering tendencies at the zip code polygon level. Our model illustrated a positive autocorrelation. We were also able to identify a georeferencible hotspot location within the zip code polygon. Targeting georeferencible locations of county areas representing populations vulnerable to prostate cancer in ArcGIS and SAS can be an effective tool for implementing county level cancer control strategies.
Keywords:
Prostate cancer, prevalence rate, autocorrelation, zip code polygon, multiple linear regression

Summary: The study analyzed how socio-demographic and land use land cover variables could predict the prevalence of prostate cancer at the zip code level in Hillborough County, Florida. We found that income was a predictor of prostate cancer prevalence. We also went further to determine the zip codes with high clusters of prostate cancer. Our study is important because it will help to inform prostate cancer intervention strategies in Hillsborough County.References: Centers for Disease Control and Prevention, 2016. Cancer Statistics - Men [online]. Available from:
https://www.cdc.gov/cancer/dcpc/data/men.htm [Accessed June 11, 2017]
National Cancer Institute, 2017. Cancer of the Prostate - Cancer Stat Facts [online]. Available from:
https://seer.cancer.gov/statfacts/html/prost.html [Accessed June 11, 2017]
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