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Identification of Priority Areas for Increased Testing Using Geospatial Mapping of Incident HIV Cases Near Charleston, South Carolina
Analysis of disease incidence using geospatial mapping techniques can enhance targeted public health efforts in resource-limited settings. While data for HIV incidence are readily available for some metropolitan regions, there is no existing resource that maps HIV incidence geospatially for Charlest...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704410/ https://www.ncbi.nlm.nih.gov/pubmed/31467478 http://dx.doi.org/10.1177/1178633719870759 |
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author | Gedney, Ryan Butler Willis, Kimberly O’Brien, Aaron Luciano, Michael Richardson, Katherine J Meissner, Eric G |
author_facet | Gedney, Ryan Butler Willis, Kimberly O’Brien, Aaron Luciano, Michael Richardson, Katherine J Meissner, Eric G |
author_sort | Gedney, Ryan |
collection | PubMed |
description | Analysis of disease incidence using geospatial mapping techniques can enhance targeted public health efforts in resource-limited settings. While data for HIV incidence are readily available for some metropolitan regions, there is no existing resource that maps HIV incidence geospatially for Charleston, South Carolina and surrounding counties. To facilitate the public health approach to address the HIV epidemic in this region, we used data collected by the South Carolina Department of Health and Environmental Control (SC-DHEC) from 2014 to 2015 to generate local geospatial maps of disease incidence and identify specific areas that may benefit from increased testing and educational efforts. We identified specific zip codes in which there were a high number of cases from patients residing in those areas, but a low number of providers reporting new cases, and we describe ongoing efforts to address this disparity. This analysis identifies a local, collaborative approach to address the HIV epidemic using routinely collected surveillance data. |
format | Online Article Text |
id | pubmed-6704410 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-67044102019-08-29 Identification of Priority Areas for Increased Testing Using Geospatial Mapping of Incident HIV Cases Near Charleston, South Carolina Gedney, Ryan Butler Willis, Kimberly O’Brien, Aaron Luciano, Michael Richardson, Katherine J Meissner, Eric G Infect Dis (Auckl) Original Research Analysis of disease incidence using geospatial mapping techniques can enhance targeted public health efforts in resource-limited settings. While data for HIV incidence are readily available for some metropolitan regions, there is no existing resource that maps HIV incidence geospatially for Charleston, South Carolina and surrounding counties. To facilitate the public health approach to address the HIV epidemic in this region, we used data collected by the South Carolina Department of Health and Environmental Control (SC-DHEC) from 2014 to 2015 to generate local geospatial maps of disease incidence and identify specific areas that may benefit from increased testing and educational efforts. We identified specific zip codes in which there were a high number of cases from patients residing in those areas, but a low number of providers reporting new cases, and we describe ongoing efforts to address this disparity. This analysis identifies a local, collaborative approach to address the HIV epidemic using routinely collected surveillance data. SAGE Publications 2019-08-21 /pmc/articles/PMC6704410/ /pubmed/31467478 http://dx.doi.org/10.1177/1178633719870759 Text en © The Author(s) 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Gedney, Ryan Butler Willis, Kimberly O’Brien, Aaron Luciano, Michael Richardson, Katherine J Meissner, Eric G Identification of Priority Areas for Increased Testing Using Geospatial Mapping of Incident HIV Cases Near Charleston, South Carolina |
title | Identification of Priority Areas for Increased Testing Using
Geospatial Mapping of Incident HIV Cases Near Charleston, South
Carolina |
title_full | Identification of Priority Areas for Increased Testing Using
Geospatial Mapping of Incident HIV Cases Near Charleston, South
Carolina |
title_fullStr | Identification of Priority Areas for Increased Testing Using
Geospatial Mapping of Incident HIV Cases Near Charleston, South
Carolina |
title_full_unstemmed | Identification of Priority Areas for Increased Testing Using
Geospatial Mapping of Incident HIV Cases Near Charleston, South
Carolina |
title_short | Identification of Priority Areas for Increased Testing Using
Geospatial Mapping of Incident HIV Cases Near Charleston, South
Carolina |
title_sort | identification of priority areas for increased testing using
geospatial mapping of incident hiv cases near charleston, south
carolina |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704410/ https://www.ncbi.nlm.nih.gov/pubmed/31467478 http://dx.doi.org/10.1177/1178633719870759 |
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