https://github.com/pitmonticone/covid-italy

References for COVID-19 situation in Italy.
https://github.com/pitmonticone/covid-italy

coronavirus covid-19 covid-19-italy data data-analysis documentation testing

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References for COVID-19 situation in Italy.

• Host: GitHub
• URL: https://github.com/pitmonticone/covid-italy
• Owner: pitmonticone
• License: apache-2.0
• Created: 2020-04-07T13:13:31.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-05-13T18:28:44.000Z (over 4 years ago)
• Last Synced: 2024-11-21T06:38:33.325Z (2 months ago)
• Topics: coronavirus, covid-19, covid-19-italy, data, data-analysis, documentation, testing
• Language: HTML
• Homepage: https://pitmonticone.github.io/covid-italy/
• Size: 6.62 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
## Documentation for COVID-19 testing data in Italy

Read the [report](https://pitmonticone.github.io/covid-italy/owid-testing-italy.html) co-authored by [Pietro Monticone](https://github.com/pitmonticone) and [Riccardo Valperga](https://github.com/Ricvalp). 

## Aggregator of COVID-19 references for Italy

Explore the [dashboard](https://pitmonticone.github.io/covid-italy/dashboard.html) created by [Pietro Monticone](https://github.com/pitmonticone) and [Riccardo Valperga](https://github.com/Ricvalp) in collaboration with [Francesco Furno](https://github.com/FFurno) and [Paolo Beria](https://github.com/beriapaolo).

## A simple SIR model 

* [Julia script](https://github.com/pitmonticone/covid-italy/blob/master/models/sir.jl)

* [Jupyter notebook](https://github.com/pitmonticone/covid-italy/blob/master/models/sir.ipynb)

## Estimating *R_t* in Real-Time

The following notebooks by [Michele Tizzoni](https://github.com/micheletizzoni) reproduce the estimate of the time-varying reproductive number for Italy:

* [National level](https://github.com/micheletizzoni/covid-19/blob/master/Realtime%20R%20-%20Italy.ipynb)

* [Subnational level](https://github.com/micheletizzoni/covid-19/blob/master/Realtime%20R%20-%20Italian%20Regions.ipynb)

**NB**: The method is based on some strong assumptions. However, the results are pretty much in line with those, more statistically solid, reported by Sam Abbott [here](https://github.com/epiforecasts/covid).





## Copyright 2020 Pietro Monticone

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

Licensed under the Apache License, Version 2.0 (the "License");

you may not use this file except in compliance with the License.

You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software

distributed under the License is distributed on an "AS IS" BASIS,

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

See the License for the specific language governing permissions and

limitations under the License.