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Development of a Web GIS Application for Visualizing and Analyzing Community Out of Hospital Cardiac Arrest Patterns
Improving survival rates at the neighborhood level is increasingly seen as a priority for reducing overall rates of out-of-hospital cardiac arrest (OHCA) in the United States. Since wide disparities exist in OHCA rates at the neighborhood level, it is important for public health officials and reside...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University of Illinois at Chicago Library
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3733756/ https://www.ncbi.nlm.nih.gov/pubmed/23923097 http://dx.doi.org/10.5210/ojphi.v5i2.4587 |
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author | Semple, Hugh Qin, Han Sasson, Comilla |
author_facet | Semple, Hugh Qin, Han Sasson, Comilla |
author_sort | Semple, Hugh |
collection | PubMed |
description | Improving survival rates at the neighborhood level is increasingly seen as a priority for reducing overall rates of out-of-hospital cardiac arrest (OHCA) in the United States. Since wide disparities exist in OHCA rates at the neighborhood level, it is important for public health officials and residents to be able to quickly locate neighborhoods where people are at elevated risk for cardiac arrest and to target these areas for educational outreach and other mitigation strategies. This paper describes an OHCA web mapping application that was developed to provide users with interactive maps and data for them to quickly visualize and analyze the geographic pattern of cardiac arrest rates, bystander CPR rates, and survival rates at the neighborhood level in different U.S. cities. The data comes from the CARES Registry and is provided over a period spanning several years so users can visualize trends in neighborhood out-of-hospital cardiac arrest patterns. Users can also visualize areas that are statistical hot and cold spots for cardiac arrest and compare OHCA and bystander CPR rates in the hot and cold spots. Although not designed as a public participation GIS (PPGIS), this application seeks to provide a forum around which data and maps about local patterns of OHCA can be shared, analyzed and discussed with a view of empowering local communities to take action to address the high rates of OHCA in their vicinity. |
format | Online Article Text |
id | pubmed-3733756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | University of Illinois at Chicago Library |
record_format | MEDLINE/PubMed |
spelling | pubmed-37337562013-08-06 Development of a Web GIS Application for Visualizing and Analyzing Community Out of Hospital Cardiac Arrest Patterns Semple, Hugh Qin, Han Sasson, Comilla Online J Public Health Inform Research Article Improving survival rates at the neighborhood level is increasingly seen as a priority for reducing overall rates of out-of-hospital cardiac arrest (OHCA) in the United States. Since wide disparities exist in OHCA rates at the neighborhood level, it is important for public health officials and residents to be able to quickly locate neighborhoods where people are at elevated risk for cardiac arrest and to target these areas for educational outreach and other mitigation strategies. This paper describes an OHCA web mapping application that was developed to provide users with interactive maps and data for them to quickly visualize and analyze the geographic pattern of cardiac arrest rates, bystander CPR rates, and survival rates at the neighborhood level in different U.S. cities. The data comes from the CARES Registry and is provided over a period spanning several years so users can visualize trends in neighborhood out-of-hospital cardiac arrest patterns. Users can also visualize areas that are statistical hot and cold spots for cardiac arrest and compare OHCA and bystander CPR rates in the hot and cold spots. Although not designed as a public participation GIS (PPGIS), this application seeks to provide a forum around which data and maps about local patterns of OHCA can be shared, analyzed and discussed with a view of empowering local communities to take action to address the high rates of OHCA in their vicinity. University of Illinois at Chicago Library 2013-07-01 /pmc/articles/PMC3733756/ /pubmed/23923097 http://dx.doi.org/10.5210/ojphi.v5i2.4587 Text en Copyright ©2013 the author(s) http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/ojphi/about/submissions#copyrightNotice This is an Open Access article. Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes. |
spellingShingle | Research Article Semple, Hugh Qin, Han Sasson, Comilla Development of a Web GIS Application for Visualizing and Analyzing Community Out of Hospital Cardiac Arrest Patterns |
title | Development of a Web GIS Application for Visualizing and Analyzing
Community Out of Hospital Cardiac Arrest Patterns |
title_full | Development of a Web GIS Application for Visualizing and Analyzing
Community Out of Hospital Cardiac Arrest Patterns |
title_fullStr | Development of a Web GIS Application for Visualizing and Analyzing
Community Out of Hospital Cardiac Arrest Patterns |
title_full_unstemmed | Development of a Web GIS Application for Visualizing and Analyzing
Community Out of Hospital Cardiac Arrest Patterns |
title_short | Development of a Web GIS Application for Visualizing and Analyzing
Community Out of Hospital Cardiac Arrest Patterns |
title_sort | development of a web gis application for visualizing and analyzing
community out of hospital cardiac arrest patterns |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3733756/ https://www.ncbi.nlm.nih.gov/pubmed/23923097 http://dx.doi.org/10.5210/ojphi.v5i2.4587 |
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