Skip to main content

COVID-19 Modeling

Project description

COMODELS

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)

Penn Death model

# 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())

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

covid-modeling-0.1.1.tar.gz (253.3 kB view hashes)

Uploaded source

Built Distribution

covid_modeling-0.1.1-py3-none-any.whl (6.9 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page