Update seri_model.py

seri_model.py

@@ -1,29 +0,0 @@
-import numpy as np
-
-def p_exposed(params, substep, state_history, previous_state):
-  signal = previous_state["S"]*params["infection_rate"]*previous_state["I"]/N
-  return {"delta_s":np.ceil(signal)}
-  
-def p_infected(params, substep, state_history, previous_state):
-  signal = params["exposure_rate"]*previous_state["E"]
-  return {"delta_i":np.ceil(signal)}
-  
-def p_recovered(params, substep, state_history, previous_state):
-  signal = params["recovery_rate"]*previous_state["I"]
-  return {"delta_r":np.ceil(signal)}
-
-def s_susceptible(params, substep, state_history, previous_state, policy_input):
-  new_S = previous_state["S"] - policy_input["delta_s"]
-  return ("S", max(new_S,0))
-  
-def s_exposed(params, substep, state_history, previous_state, policy_input):
-  new_E = previous_state["E"] + policy_input["delta_s"] - policy_input["delta_i"]
-  return ("E", max(new_E,0))
-
-def s_infected(params, substep, state_history, previous_state, policy_input):
-  new_I = previous_state["I"] + policy_input["delta_i"] - policy_input["delta_r"]
-  return ("I", max(new_I,0))
-  
-def s_recovered(params, substep, state_history, previous_state, policy_input):
-  new_R = previous_state["R"] + policy_input["delta_r"]
-  return ("R", max(new_R, 0))