Models for COVID - 19
For documentation, see the docstrings! Much more to come. For help:
import comodels
help(comodels)
help(comodels.PennDeath)
help(comodels.Penn)
# import the penn model
import matplotlib.pyplot as plt
from comodels import PennDeath
help(PennDeath)
tx = PennDeath(N = 28304596, I = 223, R = 0, D = 3, D_today = 2)
help(PennDeath.sir)
def plot_penn(Pdp: PennDeath, n_days: int) -> None:
# predict the coming storm and plot it
curve, admissions = Pdp.sir(n_days)
fig, ax = plt.subplots(1,3, figsize=(15,5))
for k, v in curve.items():
if k not in Pdp.rates.keys() :
ax[0].plot(v, label=k)
ax[0].legend()
else:
ax[1].plot(v, label=k)
ax[1].legend()
ax[1].set_title('Hospital Resource Usage')
ax[0].set_title('SIR curve')
for k, v in admissions.items():
ax[2].plot(v, label = k)
ax[2].legend()
ax[2].set_title('Additional Resource Usage by day')
fig.suptitle(f"No social distancing, total deaths = {int(max(curve['dead']))}")
plt.show()
plot_penn(tx, 120)
print(curve.keys())
print(occupancy.keys())