fit-COVID19

Easy model to fit logistic curve to COVID19 data from Italy.

Data is taken from this official repo

Live demo: https://fit-covid19.herokuapp.com (It could be slow because it is a free heroku app)

For single regions: https://fit-covid19.herokuapp.com/regione/nome

(Ex. Toscana: https://fit-covid19.herokuapp.com/regione/Toscana)

Predictions for Italy:

usage: fit.py [-h] [--img IMG] [--avg AVG] [--style STYLE]

Modello COVID-19 in Italia.

optional arguments:
  -h, --help  show this help message and exit
  --img IMG   y, save imgs - n do not save imgs
  --avg AVG      if > 1 draw plot of avg last --avg days.
  --style STYLE  [normal, cyberpunk] : normal, standard mpl - cyberpunk,
                 cyberpunk style
  --old_pred OLD_PRED  if True plot also the prediction curve from a week ago.

Predictions for a region:

usage: regione_fit.py [-h] --regione REGIONE [--img IMG] [--avg AVG] [--style STYLE]

Modello COVID-19 per regione.

optional arguments:
  -h, --help         show this help message and exit
  --regione REGIONE  Nome regione su cui effettuare le predizioni.
  --img IMG          y, save imgs - n do not save imgs
  --avg AVG      if > 1 draw plot of avg last --avg days.
  --style STYLE  [normal, cyberpunk] : normal, standard mpl - cyberpunk,
                 cyberpunk style
  --old_pred OLD_PRED  if True plot also the prediction curve from a week ago.

Examples

If you know this stuff and you think you can contribute please just let me know: fork this repo, pull request, star this repo, send me an email.

Requirements

• Python >=3
• Pandas
• Numpy
• ScyPy