Publicação
Multisource epidemic data collector
| Resumo: | Epidemic surveillance has recently been subject to the development of Web based information retrieval systems. The majority of these systems extract information directly from users, official epidemic reports or news sources. Others extract epidemic data fromInternet based social network services. The currently existing epidemic surveillance systems are mostly monolithic, not being designed for knowledge share or their integration with other applications such as epidemic forecasting tools. In this dissertation, an approach is presented to the creation of a data collection system which enables the integration of data from diverse sources. Based on the principles of interoperability and modularity, this system not only addresses the current needs for data integration but is also expansible to enable data extraction from future epidemic data sources. This system was developed as a module for the ”Epidemic Marketplace” under the EPIWORK project with the objective of becoming a valuable data source for epidemic modeling and forecasting tools. This document describes the requirements and development stages for this epidemic surveillance system and its evaluation. |
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| Autores principais: | Zamite, João Miguel Quintino de Morais, 1985- |
| Assunto: | Bioinformática Epidemiologia Modelação de dados Teses de mestrado - 2010 |
| Ano: | 2010 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | Epidemic surveillance has recently been subject to the development of Web based information retrieval systems. The majority of these systems extract information directly from users, official epidemic reports or news sources. Others extract epidemic data fromInternet based social network services. The currently existing epidemic surveillance systems are mostly monolithic, not being designed for knowledge share or their integration with other applications such as epidemic forecasting tools. In this dissertation, an approach is presented to the creation of a data collection system which enables the integration of data from diverse sources. Based on the principles of interoperability and modularity, this system not only addresses the current needs for data integration but is also expansible to enable data extraction from future epidemic data sources. This system was developed as a module for the ”Epidemic Marketplace” under the EPIWORK project with the objective of becoming a valuable data source for epidemic modeling and forecasting tools. This document describes the requirements and development stages for this epidemic surveillance system and its evaluation. |
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