Authors:
Peter Idowu
;
Dan Cornford
and
Lucy Bastin
Affiliation:
Aston University, United Kingdom
Keyword(s):
Epidemiology, HIV/AIDS, Developing Countries, GIS, GML.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
Data Mining
;
Databases and Datawarehousing
;
Databases and Information Systems Integration
;
Datamining
;
Design and Development Methodologies for Healthcare IT
;
e-Business
;
Enterprise Information Systems
;
Health Information Systems
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Signal Processing
;
Simulation and Modeling
;
Soft Computing
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
Abstract:
Despite the fact that Sub-Saharan Africa is a region characterised by high rates of several deadly diseases, there is relatively little consistent or reliable data that can be used for surveillance, monitoring and management of these diseases in the region. In order to alleviate the problem of patchy and inconsistent epidemiological data, a well structured, interoperable spatial data model for diseases surveillance and monitoring is proposed in this paper. The model is motivated by HIV/AIDS monitoring and prediction in Nigeria. We initially review some of the existing health data models which we modify and extend to develop a conceptual data model for disease surveillance, monitoring, management and, potentially, prediction. The data model captures information required for the development of diseases surveillance systems. The model is developed using the Unified Modelling Language and we aim to make the model an open standard in order to promote collaboration and encourage researcher
s in developing nations to contribute to the maintenance of the data model. The model will be implemented in XML, and will be applied to a system using service oriented architecture with a focus on HIV/AIDS surveillance and monitoring in Nigeria.
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