Crisis early warning system through data donation
As partner of the DAKI-FWS project Data4Life contributes with DAKI Health to the early detection of future pandemics and natural disasters
Under the slogan: "Act now against the crisis of tomorrow", as a consortium partner Data4Life has developed the DAKI-Health digital study, with which all persons over the age of 18 living in Germany can actively participate in the research project by donating health-related data. After answering three questionnaires on personal health, COVID-19 and their testing behavior at the beginning, participants are asked about symptoms of illness on a weekly basis.
Together with the projects of other partners such as the Robert Koch Institute, the Hasso Plattner Institute, Charité-Universitätsmedizin Berlin, and NET CHECK, Data4Life contributes to the development of a health database. With the help of artificial intelligence and in combination with weather and mobility data, a national early warning system is being developed that can detect pandemic outbreaks and climate extremes such as floods or heat waves at an early stage.
DAKI Health: Participatory public health research
Since the start of the COVID-19 outbreak the impact of pandemics not only on human health, but also on society and the economy, has become ever clearer. The pandemic has shown that we, as a society, often lack the data necessary to provide a basis for well-founded decision making.
DAKI Health is collecting digital, low-threshold and location-independent health-related data from the population of Germany, including people who do not seek medical help and who are not recorded in classic surveillance systems.
With DAKI Health, anyone throughout Germany can donate health-related data on disease symptoms, risk contacts and corona tests over a period of two years. This makes it possible to map information on the health status of the population continuously and in a timely manner over a long period of time.
Data4Life is part of the DAKI-FWS research consortium, which is funded by the German Federal Ministry of Economic Affairs and Climate Action as part of the "AI Innovation Competition" with around 12 million euros over a period of three years. The aim of the project is to develop a "data and AI-supported early warning system to stabilize the German economy".
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