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Online GIS services for mapping and sharing disease information
BACKGROUND: Disease data sharing is important for the collaborative preparation, response, and recovery stages of disease control. Disease phenomena are strongly associated with spatial and temporal factors. Web-based Geographical Information Systems provide a real-time and dynamic way to represent...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2277489/ https://www.ncbi.nlm.nih.gov/pubmed/18298859 http://dx.doi.org/10.1186/1476-072X-7-8 |
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author | Gao, Sheng Mioc, Darka Anton, Francois Yi, Xiaolun Coleman, David J |
author_facet | Gao, Sheng Mioc, Darka Anton, Francois Yi, Xiaolun Coleman, David J |
author_sort | Gao, Sheng |
collection | PubMed |
description | BACKGROUND: Disease data sharing is important for the collaborative preparation, response, and recovery stages of disease control. Disease phenomena are strongly associated with spatial and temporal factors. Web-based Geographical Information Systems provide a real-time and dynamic way to represent disease information on maps. However, data heterogeneities, integration, interoperability, and cartographical representation are still major challenges in the health geographic fields. These challenges cause barriers in extensively sharing health data and restrain the effectiveness in understanding and responding to disease outbreaks. To overcome these challenges in disease data mapping and sharing, the senior authors have designed an interoperable service oriented architecture based on Open Geospatial Consortium specifications to share the spatio-temporal disease information. RESULTS: A case study of infectious disease mapping across New Brunswick (Canada) and Maine (USA) was carried out to evaluate the proposed architecture, which uses standard Web Map Service, Styled Layer Descriptor and Web Map Context specifications. The case study shows the effectiveness of an infectious disease surveillance system and enables cross-border visualization, analysis, and sharing of infectious disease information through interactive maps and/or animation in collaboration with multiple partners via a distributed network. It enables data sharing and users' collaboration in an open and interactive manner. CONCLUSION: In this project, we develop a service oriented architecture for online disease mapping that is distributed, loosely coupled, and interoperable. An implementation of this architecture has been applied to the New Brunswick and Maine infectious disease studies. We have shown that the development of standard health services and spatial data infrastructure can enhance the efficiency and effectiveness of public health surveillance. |
format | Text |
id | pubmed-2277489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22774892008-04-02 Online GIS services for mapping and sharing disease information Gao, Sheng Mioc, Darka Anton, Francois Yi, Xiaolun Coleman, David J Int J Health Geogr Research BACKGROUND: Disease data sharing is important for the collaborative preparation, response, and recovery stages of disease control. Disease phenomena are strongly associated with spatial and temporal factors. Web-based Geographical Information Systems provide a real-time and dynamic way to represent disease information on maps. However, data heterogeneities, integration, interoperability, and cartographical representation are still major challenges in the health geographic fields. These challenges cause barriers in extensively sharing health data and restrain the effectiveness in understanding and responding to disease outbreaks. To overcome these challenges in disease data mapping and sharing, the senior authors have designed an interoperable service oriented architecture based on Open Geospatial Consortium specifications to share the spatio-temporal disease information. RESULTS: A case study of infectious disease mapping across New Brunswick (Canada) and Maine (USA) was carried out to evaluate the proposed architecture, which uses standard Web Map Service, Styled Layer Descriptor and Web Map Context specifications. The case study shows the effectiveness of an infectious disease surveillance system and enables cross-border visualization, analysis, and sharing of infectious disease information through interactive maps and/or animation in collaboration with multiple partners via a distributed network. It enables data sharing and users' collaboration in an open and interactive manner. CONCLUSION: In this project, we develop a service oriented architecture for online disease mapping that is distributed, loosely coupled, and interoperable. An implementation of this architecture has been applied to the New Brunswick and Maine infectious disease studies. We have shown that the development of standard health services and spatial data infrastructure can enhance the efficiency and effectiveness of public health surveillance. BioMed Central 2008-02-25 /pmc/articles/PMC2277489/ /pubmed/18298859 http://dx.doi.org/10.1186/1476-072X-7-8 Text en Copyright © 2008 Gao et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Gao, Sheng Mioc, Darka Anton, Francois Yi, Xiaolun Coleman, David J Online GIS services for mapping and sharing disease information |
title | Online GIS services for mapping and sharing disease information |
title_full | Online GIS services for mapping and sharing disease information |
title_fullStr | Online GIS services for mapping and sharing disease information |
title_full_unstemmed | Online GIS services for mapping and sharing disease information |
title_short | Online GIS services for mapping and sharing disease information |
title_sort | online gis services for mapping and sharing disease information |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2277489/ https://www.ncbi.nlm.nih.gov/pubmed/18298859 http://dx.doi.org/10.1186/1476-072X-7-8 |
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