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Utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts

BACKGROUND: Utilization of spatial statistics and Geographic Information Systems (GIS) technologies remain underrepresented in the community-engagement literature, despite its potential role in informing community outreach efforts and in identifying populations enthusiastic to participate in biomedi...

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Autores principales: Ruktanonchai, Corrine W, Pindolia, Deepa K, Striley, Catherine W, Odedina, Folakemi T, Cottler, Linda B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4271483/
https://www.ncbi.nlm.nih.gov/pubmed/25304037
http://dx.doi.org/10.1186/1476-072X-13-39
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author Ruktanonchai, Corrine W
Pindolia, Deepa K
Striley, Catherine W
Odedina, Folakemi T
Cottler, Linda B
author_facet Ruktanonchai, Corrine W
Pindolia, Deepa K
Striley, Catherine W
Odedina, Folakemi T
Cottler, Linda B
author_sort Ruktanonchai, Corrine W
collection PubMed
description BACKGROUND: Utilization of spatial statistics and Geographic Information Systems (GIS) technologies remain underrepresented in the community-engagement literature, despite its potential role in informing community outreach efforts and in identifying populations enthusiastic to participate in biomedical and health research. Such techniques are capable not only of examining the epidemiological relationship between the environment and a disease, but can also focus limited resources and strategically inform where on the landscape outreach efforts may be optimized. METHODS: These analyses present several spatial statistical techniques among the HealthStreet population, a community-engaged organization with aims to link underrepresented populations to medical and social care as well as opportunities to participate in University-sponsored research. Local Indicators of Spatial Association (LISA) and Getis-Ord Gi*(d) statistics are utilized to examine where cancer-related “hot spots” exist among minority and non-minority HealthStreet respondents within Alachua County, Florida, United States (US). Interest in research is also reported, by minority status and lifetime history of cancer. RESULTS: Overall, spatial clustering of cancer was observed to vary by minority status, suggesting disparities may exist among minorities and non-minorities in regards to where cancer is occurring. Specifically, significant hot spots of cancer were observed among non-minorities in more urban areas throughout Alachua County, Florida, US while more rural clusters were observed among minority members, specifically west and southwest of urban city limits. CONCLUSIONS: These results may help focus future outreach efforts to include underrepresented populations in health research, as well as focus preventative and palliative oncological care. Further, global community engaged studies and community outreach efforts outside of the United States may use similar methods to focus limited resources and recruit underrepresented populations into health research. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1476-072X-13-39) contains supplementary material, which is available to authorized users.
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spelling pubmed-42714832014-12-20 Utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts Ruktanonchai, Corrine W Pindolia, Deepa K Striley, Catherine W Odedina, Folakemi T Cottler, Linda B Int J Health Geogr Research BACKGROUND: Utilization of spatial statistics and Geographic Information Systems (GIS) technologies remain underrepresented in the community-engagement literature, despite its potential role in informing community outreach efforts and in identifying populations enthusiastic to participate in biomedical and health research. Such techniques are capable not only of examining the epidemiological relationship between the environment and a disease, but can also focus limited resources and strategically inform where on the landscape outreach efforts may be optimized. METHODS: These analyses present several spatial statistical techniques among the HealthStreet population, a community-engaged organization with aims to link underrepresented populations to medical and social care as well as opportunities to participate in University-sponsored research. Local Indicators of Spatial Association (LISA) and Getis-Ord Gi*(d) statistics are utilized to examine where cancer-related “hot spots” exist among minority and non-minority HealthStreet respondents within Alachua County, Florida, United States (US). Interest in research is also reported, by minority status and lifetime history of cancer. RESULTS: Overall, spatial clustering of cancer was observed to vary by minority status, suggesting disparities may exist among minorities and non-minorities in regards to where cancer is occurring. Specifically, significant hot spots of cancer were observed among non-minorities in more urban areas throughout Alachua County, Florida, US while more rural clusters were observed among minority members, specifically west and southwest of urban city limits. CONCLUSIONS: These results may help focus future outreach efforts to include underrepresented populations in health research, as well as focus preventative and palliative oncological care. Further, global community engaged studies and community outreach efforts outside of the United States may use similar methods to focus limited resources and recruit underrepresented populations into health research. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1476-072X-13-39) contains supplementary material, which is available to authorized users. BioMed Central 2014-10-10 /pmc/articles/PMC4271483/ /pubmed/25304037 http://dx.doi.org/10.1186/1476-072X-13-39 Text en © Ruktanonchai et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Ruktanonchai, Corrine W
Pindolia, Deepa K
Striley, Catherine W
Odedina, Folakemi T
Cottler, Linda B
Utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts
title Utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts
title_full Utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts
title_fullStr Utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts
title_full_unstemmed Utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts
title_short Utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts
title_sort utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4271483/
https://www.ncbi.nlm.nih.gov/pubmed/25304037
http://dx.doi.org/10.1186/1476-072X-13-39
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