Hi all,
let me make some advertisement for a hobby project I've realized last
weekend. The John Hopkins University publishes public data on world-wide
contagion of the virus. So I thought "Let's make use of it!"
I've build a small job which automatically downloads a csv (scheduled
via a cron job) and transforms data into a panel. Next, the job computes
7-days ahead forecasts based on latest available daily data for various
country-province combination. Freshly compiled plots are uploaded to
github. The underlying model is of the simple ARIMA type -- nothing
fancy as it's mainly for for illustration on how to use gretl for such a
task.
By the way, the job is running on a Raspberry 4 with 2GB RAM -- and just
works nicely. It wasn't difficult to compile gretl on it and required
dependencies are almost the same as for an Ubuntu system.
Code and up to date plots can be found here:
https://github.com/atecon/covid_19_forecast
Enjoy,
Artur