« Back
Spatial Analysis for Determining Sociodemographic and Landscape Covariates Geospatially Associated with Prostate Cancer Prevalence in Hillsborough County, Florida.
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
View poster »

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.
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: [Accessed June 11, 2017]
National Cancer Institute, 2017. Cancer of the Prostate - Cancer Stat Facts [online]. Available from: [Accessed June 11, 2017]
Report abuse »
Ask the author a question about this poster.
Ask a Question »

Creative Commons

Related Posters

Etiological diagnostics of cardiomyopathies in the cardiology unit of the HUEH internal medicine department during the period from 8 January 2014 to 14 June 2014
*Axler JEAN PAUL; **Lesly Ed. ARCHER; *Raema Mimrod JEAN; *Gerald VERNELUS; *Rodolph MALEBRANCHE

Medical Student: Move over Stem Cells – Exosomes are Here! What are Exosomes & their role in Regenerative Medicine?
Amartej Singh Deol MD4 & Advisor: Shivinder S. Deol MD

Briand Bounkeu MD; Ravi Shekarappa MD; La Toya Jackson DO, FAAFP; Chinedu Ivonye MD, FACP; Cristal Kudiwu MD

Striving for Equity in Surgical, Anesthesia, and Obstetric Research in Haiti: A Multi-Partner, International Research Training Collaboration
Dr. Jean Alouidor*, Dr. Frédéric Barau Déjean*, Dr. Louis-Franck Télémaque, Dr. Ronald Eveillard, Dr. Laëlle Mangurat, Dr. Isaac Martineau, Dr. Chartelin Jean Isaac, Dr. Darlène Rochelin Paultre, Carine Réveil Jean-Baptiste, Dr. Lucile Louis Riché, Dr. Jordan Pyda, Rolvix Patterson III, Dr. Blake Alkire, Dr. Eunice Dérivois-Mérisier (*Co-First Authors)

Projektstatus: Entwicklung einer konsensbasierten Therapieempfehlung für die PADOVAN-METHODE® in der Neurorehabilitation
Eisenmeier, Dimitri1; Ostermann, Thomas1; Vogel, Hannah1; Fetz, Katharina1