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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

Disease mapping architecture. This architecture includes a data storage tier, an ontology engine tier, a standard health services tier, and a maps and animation tier.
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Figure 1: Disease mapping architecture. This architecture includes a data storage tier, an ontology engine tier, a standard health services tier, and a maps and animation tier.

Mentions: To overcome in particular the heterogeneous data integration and service interoperability challenges to disease mapping, we propose the disease mapping architecture illustrated in Figure 1. The architecture contains four tiers: a data storage tier, an ontology engine tier, a standard health services tier, and a maps and animation tier.


Online GIS services for mapping and sharing disease information.

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

Disease mapping architecture. This architecture includes a data storage tier, an ontology engine tier, a standard health services tier, and a maps and animation tier.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 1: Disease mapping architecture. This architecture includes a data storage tier, an ontology engine tier, a standard health services tier, and a maps and animation tier.
Mentions: To overcome in particular the heterogeneous data integration and service interoperability challenges to disease mapping, we propose the disease mapping architecture illustrated in Figure 1. The architecture contains four tiers: a data storage tier, an ontology engine tier, a standard health services tier, and a maps and animation tier.

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