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covid-surge-0.0.9

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توضیحات

Covid-Surge is a utility for computing and comparing mortality surge periods of communities afflicted by the COVID-19 virus pandemic.
ویژگی مقدار
سیستم عامل -
نام فایل covid-surge-0.0.9
نام covid-surge
نسخه کتابخانه 0.0.9
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Valmor F. de Almeida
ایمیل نویسنده valmor_dealmeida@uml.edu
آدرس صفحه اصلی https://github.com/dpploy/covid-surge
آدرس اینترنتی https://pypi.org/project/covid-surge/
مجوز -
# Covid-surge COVID-19 mortality surge period calculation for communities afflicted by the corona virus SARS-CoV-2. + [University of Massachusetts Lowell](https://www.uml.edu/) + [Dept. of Chemical Engineering](https://www.uml.edu/Engineering/Chemical/) (Nuclear Program) + [Prof. Valmor F. de Almeida](https://www.uml.edu/Engineering/Chemical/faculty/de-Almeida-Valmor.aspx) (valmor_dealmeida@uml.edu) ----------- [![NBViewer](https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg)](https://nbviewer.jupyter.org/github/dpploy/covid-surge/tree/master/notebooks/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dpploy/covid-surge/master) [![Azure Notebooks](https://notebooks.azure.com/launch.svg)](https://notebooks.azure.com/dealmeidavf/projects/covid-surge) [![PyPI Version](https://img.shields.io/pypi/v/covid-surge)](https://pypi.org/project/covid-surge/) [![PyPI Python Version](https://img.shields.io/pypi/pyversions/covid-surge)](https://pypi.org/project/covid-surge/) [![Repo Size](https://img.shields.io/github/repo-size/dpploy/covid-surge)](https://github.com/dpploy/covid-surge) [![CircleCI](https://img.shields.io/circleci/build/github/dpploy/covid-surge/master)](https://circleci.com/gh/dpploy/covid-surge) [![codecov](https://codecov.io/gh/dpploy/covid-surge/branch/master/graph/badge.svg)](https://codecov.io/gh/dpploy/covid-surge) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/8ba73ff25b264beb8a15f2172cf81aa7)](https://www.codacy.com/gh/dpploy/covid-surge?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=dpploy/covid-surge&amp;utm_campaign=Badge_Grade) ------------ **Preprint**: [How Long is the Worst Part of the COVID-19 Mortality Surge?](https://doi.org/10.31219/osf.io/z59uy) | | |:---| |----------------------------------------------------\|**WORLD**\|---------------------------------------------------------| |<img width="900" src="https://raw.githubusercontent.com/dpploy/covid-surge/master/readme/group_surge_periods_global.png" title="Surge Periods"> | | [Data source](https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data). | | Distribution of mortality critical surge periods for the countries with fully evolved epidemics. The average critical surge period is the number of days between the points of maximum and minimum curvatures on the sigmoid curve approximating the data. Countries to the right are less stressed than countries to the left. The colored bar plot shows locations grouped by 2-day bin widths. | | The world average critical surge period at the date indicated by the plot is **23 days with a 3-day standard deviation**.| | *To update this plot with live data, [run this Jupyter Notebook](https://nbviewer.jupyter.org/github/dpploy/covid-surge/blob/master/notebooks/countries-surge.ipynb).* | |---------------------------------------------------------\|**US**\|-------------------------------------------------------| |<img width="900" src="https://raw.githubusercontent.com/dpploy/covid-surge/master/readme/group_surge_periods_us.png" title="Surge Periods"> | | [Data source](https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data). | | Distribution of mortality critical surge periods for the US states with fully evolved epidemics. The average critical surge period is the number of days between the points of maximum and minimum curvatures on the sigmoid curve approximating the data. Countries to the right are less stressed than countries to the left. The colored bar plot shows locations grouped by 2-day bin widths. | | The US state average critical surge period at the date indicated by the plot is **25 days with a 3-day standard deviation**.| | *To update this plot with live data, [run this Jupyter Notebook](https://nbviewer.jupyter.org/github/dpploy/covid-surge/blob/master/notebooks/us-states-surge.ipynb).* | |--------------------------------------------\|**US State Counties/Towns (Top 3)**\|---------------------------------------| |<img width="900" src="https://raw.githubusercontent.com/dpploy/covid-surge/master/readme/group_surge_periods_us_new_york.png" title="Surge Periods"> | | [Data source](https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data). | | Distribution of mortality critical surge periods for the US state New York with fully evolved epidemics. The average critical surge period is the number of days between the points of maximum and minimum curvatures on the sigmoid curve approximating the data. Countries to the right are less stressed than countries to the left. The colored bar plot shows locations grouped by 2-day bin widths.| | The average critical surge period at the date indicated by the plot is **21 days with a 3-day standard deviation**.| | *To update this plot with live data, [run this Jupyter Notebook](https://nbviewer.jupyter.org/github/dpploy/covid-surge/blob/master/notebooks/us-state-counties-surge.ipynb).* | |-------------------------------------------------------------------------------------------------------------------------| |<img width="900" src="https://raw.githubusercontent.com/dpploy/covid-surge/master/readme/group_surge_periods_us_new_jersey.png" title="Surge Periods"> | | [Data source](https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data). | |-------------------------------------------------------------------------------------------------------------------------| |<img width="900" src="https://raw.githubusercontent.com/dpploy/covid-surge/master/readme/group_surge_periods_us_massachusetts.png" title="Surge Periods"> | | [Data source](https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data). |


نیازمندی

مقدار نام
- matplotlib
- numpy
- pandas
- asserts


زبان مورد نیاز

مقدار نام
>=3.6 Python


نحوه نصب


نصب پکیج whl covid-surge-0.0.9:

    pip install covid-surge-0.0.9.whl


نصب پکیج tar.gz covid-surge-0.0.9:

    pip install covid-surge-0.0.9.tar.gz