Before revision:  We combine Bayesian parameter inference with a network-based epidemiological modelthat allows to interpolate between random and small-world transmission networks.
After revision:  We here identify the key parameters of the COVID-19 transmission network for time periods before, during, and after the application of strict NPIs for the first wave of COVID-19 infections in Germany combining Bayesian parameter inference with a network-based epidemiological modelthat allows to interpolate between random and small-world transmission networks.