Synthesis of disease spread and network data for Covid-19 simulation

Agent-based computer models are an important tool for simulating the spread of COVID-19. For their reliability, however, they have to be calibrated for precise data on human behavior and the actual spread of diseases. In addition, the expected impact of strategies to reduce the spread can be tested and assessed based on the data currently being collected. The required data can also be used in the future to conduct studies on the effects of COVID-19, e.g. the impact of reduced mobility on environmental pollution. In this project, the following anonymized data is regularly collected and stored for the above-mentioned uses: aggregated statistics on the movement of people from Austrian mobile network operators, results of strategies actually developed for (randomized) COVID-19 tests, information on other COVID-19 test strategies in Austria. A direct effect would be the identification of areas in which the contact reduction does not work sufficiently and therefore the tests should be intensified.