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Crisis teams in each country communicate actions to stop the Covid-19 Pandemic, everyday however new cases are registered. Hospitals become like a trench war for doctors and nurses. Hundreds have been infected and increasing numbers are dying. Some are working with no gloves as stocks are limited. The same holds for intensive care units. To avoid the collapse of the healthcare system Is crucial to forecast where the virus will infect more people to distribute the needed resources for doctors and patients. To this point corona crisis teams lack valid information on infection spread in their region and its impact on vital resources. To remove some of their uncertainty the crisis team members have the possibility to see the evolution of the infection in their regions and plan & distribute their medical resources accordingly.

We have developed a visualization and simulation of future infection rates. Machine learning is used to predict the number of diseases for various countries and various regional levels. Together with additional data such as the number of ICUs officials are immediately informed on resource shortages. In this way, the crisis team can immediately start short-term activities to alleviate the situation by distributing scarce resources.