Welcome to dAUTObase, the first worldwide geoepidemiological data repository for autoimmune diseases.
Nowadays, autoimmune diseases are among the leading causes of death for a remarkable number of patients all around the world. Recent studies have witnessed that the epidemiological indices for a specific disease can vary according to ethnic and geographical parameters. As a result, the genetic epidemiology of autoimmune diseases is a major matter of study for the worldwide scientific community. We have critically collected and screened a large number of epidemiological studies on autoimmune diseases, analyzing their frequencies in various populations around the globe. We have given special emphasis on the identification of incidence and prevalence rates, while we also registered additional information, if presented
Since 2010, dAUTObase has undergone a major upgrade focused on the development of new data visualization tools oriented to further assist the effective data querying and the mining process. We have built an interactive web-based application for population-based epidemiological data retrieval. It supports sophisticated data exploration enabling this way the discovery of new trends and potential demographic patterns that lie in them.
More specifically, we have built an elegant web-based multimedia front-end based on a software tool launched by Microsoft, namely the PivotViewer, in order to provide a high level visualization of the data collection and the mining process. It supports dynamic data visualization, sorting, organization and categorization. A different visual encoding is provided for each autoimmune disease and population aiming to facilitate the population-based epidemiological data collection and retrieval.
Additionally to the PivotViewer, there are also two alternative visualization querying interfaces based on the Flare visualization toolkit and the JQVmap, providing two extra visualization types of the underlying data collection, namely the Disease Treemap and the Disease World Map allowing users to query disease distributions and correlations among populations.
You can have full access to the data displayed by the visualizations tools (download dataset). More specifically, all the recorded studies are exported to a Microsoft Excel spreadsheet, including a reference to the respective PubMed Identifier (PMID).