Epidemic simulator for COVID-19

The following parameters are required to be set:

See step.py, the default value corresponds those in the paper

• t_eps——incubation period(day)
• t_I——lasting of I(day)
• t_Ia——lasting of Ia(day)
• d——death rate
• R_0——basic reproduction number
• Pa——proportion of Ia
• r_L
• r_a

The following data files are required:

• od_prob.json——array in size [336][number of blocks][number of blocks], recording the probability for people in the i-th block to travel to the j-th during the t-th time step.
• pop_blocks.json——array in size [number of blocks], recording the population size in each blocks.

The following results will be saved:

The results will be defaultly saved to path "c:\results"

• control-influence_parameter{θ}_time{t}.json——array in size [lasting steps], recording the percentage of population mobility being influenced due to mobility control during each time steps, in the t-th simulation with parameter θ.
• result_parameter{θ}_time{t}.json——array in size [lasting steps][number of blocks][6], recording the number of people in state S, L, I, Ia, R, D (by order) in each block at each time step, in the t-th simulation with parameter θ.