The B-FAST project is a sister project of HiGHmed. In B-FAST, the visualization modules of the HiGHmed project were adapted. To provide the responsible experts with insights into COVID-19 data during the acute coronavirus pandemic, the data interface and data preprocessing processes of the HiGHmed project's visualization modules were adjusted. This adaptation allows for the visual analysis of not only microbiological data but also virological data. Given that the structure and information content of virological data differ significantly, data-specific modifications were also made to the visualizations.

About the project:

The B-FAST project focuses on infection surveillance, involving systematic collection and analysis of health data to plan and evaluate measures for managing the pandemic. Within the B-FAST framework, various testing and monitoring strategies are compared across different domains to identify COVID-19 infection chains at an early stage.

B-FAST entails the development of a platform for structured collection and integration of information related to the pandemic. The objective is to create an interoperable monitoring tool to enhance understanding of infection indicators and prevent the spread of infections. The findings directly inform current strategies and are made accessible to all relevant stakeholders through an information platform.

In the B-FAST project, experts from diverse fields collaborate closely to develop and implement an optimal surveillance strategy for the COVID-19 pandemic nationwide. Under the leadership of Prof. Dr. Simone Scheithauer from UMG, in close collaboration with the University Hospital Cologne, the consortium project is coordinated.