A dashboard to monitor the spread of COVID-19 in Italy

See the dashboard in action on Heroku

What is it?

This dashboard graphically represents the updated COVID-19 situation in Italy using data publicly available. It allows to compare the number of cases across the Italian provinces for a given date, but also to observe trends in time and sum up the details in a table.

What's under the hood?

It is written in Python using Dash. It can be run using Jupyter Lab or as a Flask-based web application.

Using the dashboard in Jupyter Lab

To use the dashboard inside Jupyter Lab, it is necessary to install the jupyterlab-dash extension.

Running the web app locally

The easiest way is to clone this repository, create a virtual environment and install the required packages:

virtualenv -p python3 venv
source venv/bin/activate
pip install -r requirements.txt

To run the actual web app:

python app.py

The dashboard can then be used in a browser pointing to link http://127.0.0.1:8050/ .

Deploying the app

The main app uses Choroplethmapbox to represent measures of interest. Although updating it through a given component is fine locally, it can be quite heavy if the app is deployed on Heroku or AWS. Under the folder deploy, there is a slightly different implementation (the one actually hosted on Heroku) that uses Scattermapbox instead.