Data model for disease surveillance and monitoring in Nigeria

Mr Peter Idowu
Computer Science, Aston University

Date: 2nd December 2008 (Tuesday)
Time: 14:00 - 15:00
Venue: MB564

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 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 data model for spatial diseases surveillance is proposed. The model is motivated by HIV/AIDS monitoring and prediction in Nigeria. Some of the existing health data models are reviewed and extended to develop an appropriate data model for disease surveillance, monitoring, and management. The structure of the model is shown and its strengths and limitations are described.