data analysis and modeling of COVID-19
- global metrics from Johns Hopkins University https://github.com/CSSEGISandData/COVID-19
- US county-level metrics from The New York Times https://github.com/nytimes/covid-19-data
- Italy regione-level metrics from Dipartimento della Protezione Civile https://github.com/pcm-dpc/COVID-19
all data sources are timeseries with updated cumulative metrics for each day
- cum.
cases
,deaths
, andrecovered
, for most regions - timeseries from 2020-01-22 onwards, for most regions
- derived metrics include: case fatality rate, active cases, day-over-day diffs, day-over-day % change
custom plots mixing any metrics for regions at multiple levels
- have python 3 installed:
brew install pyenv
pyenv install 3.8.0
pyenv local 3.8.0
- install dependencies and run:
- install poetry
poetry install
poetry run jupyter notebook