Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

covid-surge

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

covid-surge

Covid-Surge is a utility for computing and comparing mortality surge periods of communities afflicted by the COVID-19 virus pandemic.

  • 0.0.41
  • PyPI
  • Socket score

Maintainers
1

Covid-surge

COVID-19 mortality surge period calculation for communities afflicted by the corona virus SARS-CoV-2.

  • University of Massachusetts Lowell
  • Dept. of Chemical Engineering (Nuclear Program)
  • Prof. Valmor F. de Almeida (valmor_dealmeida@uml.edu)

NBViewer Binder Azure Notebooks

PyPI Version PyPI Python Version Repo Size

CircleCI codecov Codacy Badge


Preprint: How Long is the Worst Part of the COVID-19 Mortality Surge?

----------------------------------------------------|WORLD|---------------------------------------------------------
Data source.
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.
---------------------------------------------------------|US|-------------------------------------------------------
Data source.
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.
--------------------------------------------|US State Counties/Towns (Top 3)|---------------------------------------
Data source.
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.
-------------------------------------------------------------------------------------------------------------------------
Data source.
-------------------------------------------------------------------------------------------------------------------------
Data source.

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc