Fig. 3.

Model introduction. (a) SEIIR model; (b) daily commutes in an agent-based model (the ratio of workers/students going to companies/schools, and of $P_1$ to $P_4$, are time-variant parameters); (c) three steps in the simulation ($P_{TM}$: probability of temperature detection when entering public areas; $P_{Mtoh}$: probability of hospitalisation if a person is detected to be infected; $E_M$: mask efficiency for infection risk reduction; $X(t+1=t_X)$ means that the personal timer reaches the total time of status $X$).