covid-underdispersion | Testing reported Covid-19 cases

by dkobak Jupyter Notebook Version: Current License: No License

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kandi X-RAY | covid-underdispersion Summary

covid-underdispersion is a Jupyter Notebook library. covid-underdispersion has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Testing reported Covid-19 cases and deaths for underdispersion compared to Poisson, based on the WHO data. Each dot is one week, 100 weeks in total. Asterisks denote p<0.05. Only countries with at least 15 weeks with p<0.05 undispersion, or at least 4 weeks in a row, are shown. Summed weekly counts are separately tested for under- dispersion in chunks of 10 weeks (below); countries with at least 5 significant weeks are shown.

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Support

covid-underdispersion has a low active ecosystem.

It has 6 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

covid-underdispersion has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of covid-underdispersion is current.

Quality

covid-underdispersion has no bugs reported.

Security

covid-underdispersion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

covid-underdispersion does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

covid-underdispersion releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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covid-underdispersion Key Features

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covid-underdispersion Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install covid-underdispersion

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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