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Online GIS services for mapping and sharing disease information.

Gao S, Mioc D, Anton F, Yi X, Coleman DJ - Int J Health Geogr (2008)

Bottom Line: Disease phenomena are strongly associated with spatial and temporal factors.These challenges cause barriers in extensively sharing health data and restrain the effectiveness in understanding and responding to disease outbreaks.We have shown that the development of standard health services and spatial data infrastructure can enhance the efficiency and effectiveness of public health surveillance.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Geodesy and Geomatics Engineering, University of New Brunswick, Canada. sheng.gao@unb.ca

ABSTRACT

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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Related in: MedlinePlus

Service level sequential diagram for disease data sharing. After users log into the forum, they can obtain disease maps and share them with others. Each shared map is given a unique identification.
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Figure 8: Service level sequential diagram for disease data sharing. After users log into the forum, they can obtain disease maps and share them with others. Each shared map is given a unique identification.

Mentions: The service level sequential diagram of this system is shown in Figure 8. After the users log into the health portal, they can request the disease maps that they need in their application. The health portal will invoke the appropriate WMS and show disease maps to the users. If users want to share the maps, they can launch the discussion forum and attach the disease maps to a posted topic. The health portal would generate a unique ID to the shared disease maps and save the parameters rather than the maps in obtaining the disease maps through WMC. WMC stores the parameters in XML with general element for layer-independent context and a sequential layer list for specific details about each shared layer. Afterwards, when other people visit the forum and click the map button in a certain topic, the health portal will parse the according WMC document, obtain the disease maps, and show them in the viewer.


Online GIS services for mapping and sharing disease information.

Gao S, Mioc D, Anton F, Yi X, Coleman DJ - Int J Health Geogr (2008)

Service level sequential diagram for disease data sharing. After users log into the forum, they can obtain disease maps and share them with others. Each shared map is given a unique identification.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2277489&req=5

Figure 8: Service level sequential diagram for disease data sharing. After users log into the forum, they can obtain disease maps and share them with others. Each shared map is given a unique identification.
Mentions: The service level sequential diagram of this system is shown in Figure 8. After the users log into the health portal, they can request the disease maps that they need in their application. The health portal will invoke the appropriate WMS and show disease maps to the users. If users want to share the maps, they can launch the discussion forum and attach the disease maps to a posted topic. The health portal would generate a unique ID to the shared disease maps and save the parameters rather than the maps in obtaining the disease maps through WMC. WMC stores the parameters in XML with general element for layer-independent context and a sequential layer list for specific details about each shared layer. Afterwards, when other people visit the forum and click the map button in a certain topic, the health portal will parse the according WMC document, obtain the disease maps, and show them in the viewer.

Bottom Line: Disease phenomena are strongly associated with spatial and temporal factors.These challenges cause barriers in extensively sharing health data and restrain the effectiveness in understanding and responding to disease outbreaks.We have shown that the development of standard health services and spatial data infrastructure can enhance the efficiency and effectiveness of public health surveillance.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Geodesy and Geomatics Engineering, University of New Brunswick, Canada. sheng.gao@unb.ca

ABSTRACT

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.

Show MeSH
Related in: MedlinePlus