SEIRD-model-dashboard

Dashboard for analysis of Chilean Covid19 data, including a Susceptible-Exposed-Infected-Recovered-Dead (SEIRD) predictive model

A live version is being constantly updated at herokuapp.com

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Requirements

Use pip3 install -r requirements.txt to install all following libraries:

# Python libraries to be installed

Brotli==1.0.9
certifi==2020.12.5
click==7.1.2
dash==1.18.1
dash-bootstrap-components==0.11.1
dash-core-components==1.14.1
dash-html-components==1.1.1
dash-renderer==1.8.3
dash-table==4.11.1
Flask==1.1.2
Flask-Compress==1.8.0
future==0.18.2
gunicorn==20.0.4
itsdangerous==1.1.0
Jinja2==2.11.2
MarkupSafe==1.1.1
numpy==1.19.5
pandas==1.1.5
plotly==4.14.3
python-dateutil==2.8.1
pytz==2020.5
retrying==1.3.3
scipy==1.5.4
six==1.15.0
Werkzeug==1.0.1
wincertstore==0.2

Installing

A step by step series of examples that tell you how to get a development env running

git clone https://github.com/millacurafa/seird-model-dashboard

or via SSH

git clone [email protected]:millacurafa/seird-model-dashboard.git

and run the ui.app

cd seird-model-dashboard/
python ui.py

Running the tests

Dash will run a local version on http://127.0.0.1:8050/ after proper deployment

And coding style tests

Code is written using the snake_case standard for python apps.

Deployment

For deployment into Heroku check current pip version for possible conflicts.

Last Heroku update includes pip version 20.0.2 the first you should downgrade your version if needed. Remember to do this in a virtual environment

pip install pip==20.0.2

Also you would need to downgrade Pandas and ScyPy

pip install pandas==1.1.5 scipy==1.5.4

Built With

• Dash
• Plotly
• Pandas
• Scipy

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use Git for versioning. For the versions available, see the tags on this repository.

Authors

See the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Thanks to Felipe Millacura for creating this project and Cristobal Donoso for guidance.
• Epidemiological data obtained from the Chilean Health Ministry (MINSAL) and other official sources, documented and open for community analysis. Made available by the Chilean Science Ministry in the following github repo