  We investigate the impact of misinformation about the contact structure on
the ability to predict disease outbreaks. We base our study on 31 empirical
temporal networks and tune the frequencies in errors in the node identities or
timestamps of contacts. We find that for both these spreading scenarios, the
maximal misprediction of both the outbreak size and time to extinction follows
an stretched exponential convergence as a function of the error frequency. We
furthermore determine the temporal-network structural factors influencing the
parameters of this convergence.
