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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...

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Detalles Bibliográficos
Autores principales: Gao, Sheng, Mioc, Darka, Anton, Francois, Yi, Xiaolun, Coleman, David J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
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.
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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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