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https://github.com/dpploy/covid-surge
COVID-19 mortality surge period calculation for communities afflicted by the corona virus SARS-CoV-2
https://github.com/dpploy/covid-surge
analytics covid-19 covid-surge curve-fitting epidemics jupyter-notebook non-linear-optimization public-health python surge-periods
Last synced: about 1 month ago
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COVID-19 mortality surge period calculation for communities afflicted by the corona virus SARS-CoV-2
- Host: GitHub
- URL: https://github.com/dpploy/covid-surge
- Owner: dpploy
- License: gpl-3.0
- Created: 2020-05-06T13:50:53.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-09-18T14:15:58.000Z (about 4 years ago)
- Last Synced: 2024-09-19T19:51:14.572Z (2 months ago)
- Topics: analytics, covid-19, covid-surge, curve-fitting, epidemics, jupyter-notebook, non-linear-optimization, public-health, python, surge-periods
- Language: Jupyter Notebook
- Homepage:
- Size: 15.5 MB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 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) ([email protected])
-----------
[](https://nbviewer.jupyter.org/github/dpploy/covid-surge/tree/master/notebooks/)
[](https://mybinder.org/v2/gh/dpploy/covid-surge/master)
[](https://pypi.org/project/covid-surge/)
[](https://pypi.org/project/covid-surge/)
[](https://github.com/dpploy/covid-surge)
[](https://circleci.com/gh/dpploy/covid-surge)
[](https://codecov.io/gh/dpploy/covid-surge)
[](https://www.codacy.com/gh/dpploy/covid-surge?utm_source=github.com&utm_medium=referral&utm_content=dpploy/covid-surge&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**\|---------------------------------------------------------|
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| [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**\|-------------------------------------------------------|
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| [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)**\|---------------------------------------|
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| [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).* |
|-------------------------------------------------------------------------------------------------------------------------|
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| [Data source](https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data). |
|-------------------------------------------------------------------------------------------------------------------------|
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| [Data source](https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data). |