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covid-seird-0.0.8


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توضیحات

A small package that implements the SEIRD Epidemiological Model on COVID-19 data.
ویژگی مقدار
سیستم عامل -
نام فایل covid-seird-0.0.8
نام covid-seird
نسخه کتابخانه 0.0.8
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Paulo Branco
ایمیل نویسنده paulorobertobranco@gmail.com
آدرس صفحه اصلی https://github.com/paulorobertobranco/covid_seird
آدرس اینترنتی https://pypi.org/project/covid-seird/
مجوز -
# [covid-seird](https://pypi.org/project/covid-seird/) <!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section --> [![Downloads](https://pepy.tech/badge/covid-seird)](https://pepy.tech/project/covid-seird) [![MIT License](https://img.shields.io/github/license/paulorobertobranco/covid_seird)](https://opensource.org/licenses/) [![HitCount](https://hits.dwyl.com/paulorobertobranco/covid-seird.svg)](http://hits.dwyl.com/paulorobertobranco/covid-seird) [![CodeFactor Grade](https://img.shields.io/codefactor/grade/github/paulorobertobranco/covid_seird)](https://www.codefactor.io/repository/github/paulorobertobranco/covid_seird/overview/master) ![GitHub repo size](https://img.shields.io/github/repo-size/paulorobertobranco/covid_seird) <!-- ALL-CONTRIBUTORS-BADGE:END --> ## About **covid-seird** is a small Python package inspired by Henri Froese's post ['Infectious Disease Modelling: Beyond the Basic SIR Model'](https://towardsdatascience.com/infectious-disease-modelling-beyond-the-basic-sir-model-216369c584c4). It implements the **SEIRD Epidemiological Model** on COVID-19 data. - First, it **fits** a the SEIRD Model into the real timeline data of confirmed cases of COVID-19 of a country. - Then, it **simulates** the SEIRD curves based on the previously fitted Model. - As a result, the country's **basic reproduction number (R<sub>o</sub>)** of COVID-19 is computed. - Also, the **fit and simulation plots** are available. NOTE: The COVID-19 timelines data are obtained using the [COVID19Py package](https://github.com/Kamaropoulos/COVID19Py) in order to retrieve the Worldwide Data repository operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). ## Installation In order to install this package, simply run: ```bash pip install covid-seird ``` ## Usage To use covid-seird, you first need to import the package and then create a new instance, passing the country code as a parameter: ```python from covid_seird import CountryCovidSeird brazil = CountryCovidSeird("br") ``` ### Getting the country codes ```python CountryCovidSeird.code_search("brazil") ``` output: ```python {'BR': 'Brazil'} ``` ### Fit the SEIRD Model ```python brazil.fit() ``` After the fit method's call, the fit score (R<sup>2</sup>) can be accessed: ```python brazil.r2 ``` output: ```python 0.797994368607109 ``` Also after fit method's call, the basic reproduction number (R<sub>o</sub>) will be available: ```python brazil.r0 ``` output: ```python 2.280428864655168 ``` ### Fit plot ```python brazil.plot_fit("brazil_fit_plot") ``` a plot file named 'brazil_fit_plot' will be created. ![fit plot](https://raw.githubusercontent.com/paulorobertobranco/covid_seird/master/examples/brazil_fit_plot.png?token=ABKF5K5HY7SASBQAF34EOLK63UH7I) ### SEIRD simulation The simulation method receives as a parameter how many days ahead of the real data the SEIRD model will be computed. ```python brazil.simulation(days_ahead=150) ``` The SEIRD curves can be accessed after the simulation method's call ```python brazil.curves['infected'] ``` output: ```python array([4.77396851e-09, 5.32992037e-09, 5.95375686e-09, 6.59631344e-09, 7.32558927e-09, 8.14396099e-09, 9.05142859e-09, 1.00479921e-08, ... 7.48473200e-03, 7.06776956e-03, 6.67386382e-03, 6.30175876e-03, 5.95026480e-03, 5.61825534e-03, 5.30466353e-03, 5.00847963e-03]) ``` ### Simulation plots ```python brazil.plot_simulation("brazil_simulation_plot") ``` a plot file named 'brazil_simulation_plot' will be created. ![simulation plot](https://raw.githubusercontent.com/paulorobertobranco/covid_seird/master/examples/brazil_simulation_plot.png?token=ABKF5K4FPIDQ3VEWOZKTB2263UH4I)


نیازمندی

مقدار نام
- numpy
- pandas
- lmfit
- requests
- COVID19Py
- scipy
- matplotlib


زبان مورد نیاز

مقدار نام
>=3.6 Python


نحوه نصب


نصب پکیج whl covid-seird-0.0.8:

    pip install covid-seird-0.0.8.whl


نصب پکیج tar.gz covid-seird-0.0.8:

    pip install covid-seird-0.0.8.tar.gz