https://github.com/alessandrobessi/covid-italy-monitoring

A script to visualize some statistics about the CoVid-19 epidemics in Italy
https://github.com/alessandrobessi/covid-italy-monitoring

coronavirus coronavirus-analysis covid-19 covid-19-italy covid-2019 covid-data covid19 italy

Last synced: 2 days ago
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A script to visualize some statistics about the CoVid-19 epidemics in Italy

• Host: GitHub
• URL: https://github.com/alessandrobessi/covid-italy-monitoring
• Owner: alessandrobessi
• License: gpl-3.0
• Created: 2020-03-14T15:21:24.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-06-22T01:28:08.000Z (over 2 years ago)
• Last Synced: 2023-02-28T07:56:06.411Z (over 1 year ago)
• Topics: coronavirus, coronavirus-analysis, covid-19, covid-19-italy, covid-2019, covid-data, covid19, italy
• Language: Python
• Homepage:
• Size: 411 MB
• Stars: 8
• Watchers: 2
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        


# CoVid-19 Italy Monitoring

A script to visualize some statistics, predictions, and charts about the CoVid-19 epidemics in

 Italy.



### Disclaimer

Notwithstanding the nice fit I wouldn't trust such a logistic fit based prediction. Italy is moving at different speeds: northern regions are already in the mid stages of the epidemic process, while center and southern regions are still in the early stages. We should also consider the effects of the lockdown, which is a difficult-to-model "exogenous shock". To summarize, I suspect that the underlying dynamics is way more complex than the one implicitly assumed by the logistic fit. Moreover, apparently, the reported number of infected individuals is *highly* underestimated, since there are a lot of infected yet asymptomatic individuals that don't show up in the official statistics.

### Usage

Install Humor Sans font (http://antiyawn.com/uploads/humorsans.html) and requirements

```shell script

pip install -r requirements.txt

```

Then run

```shell script

python3 main.py

```

You find reports with statistics, predictions, and charts for:

 - :it: **[Italy](report/report.md)** :it:

 - [Abruzzo](report/regions/report_Abruzzo.md)

 - [Basilicata](report/regions/report_Basilicata.md)

 - [Calabria](report/regions/report_Calabria.md)

 - [Campania](report/regions/report_Campania.md)

 - [Emilia Romagna](report/regions/report_EmiliaRomagna.md)

 - [Friuli Venezia Giulia](report/regions/report_FriuliVeneziaGiulia.md)

 - [Lazio](report/regions/report_Lazio.md)

 - [Liguria](report/regions/report_Liguria.md)

 - [Lombardia](report/regions/report_Lombardia.md)

 - [Marche](report/regions/report_Marche.md)

 - [Molise](report/regions/report_Molise.md)

 - [P.A. Bolzano](report/regions/report_P.A.Bolzano.md)

 - [P.A. Trento](report/regions/report_P.A.Trento.md)

 - [Piemonte](report/regions/report_Piemonte.md)

 - [Puglia](report/regions/report_Puglia.md)

 - [Sardegna](report/regions/report_Sardegna.md)

 - [Sicilia](report/regions/report_Sicilia.md)

 - [Toscana](report/regions/report_Toscana.md)

 - [Umbria](report/regions/report_Umbria.md)

 - [Valle D'Aosta](report/regions/report_Valled'Aosta.md)

 - [Veneto](report/regions/report_Veneto.md)