reichlab / sarix-covid

sarix model for forecasting Covid-19 hospitalizations

sarix-covid

Seasonal Auto-Regressive Integrated models with eXogenous predictors for forecasting Covid-19 hospitalizations

setup

1. Install the following R packages from the CRAN Repository:

install.packages(c("dplyr", "lubridate", "readr", "ggplot2"))

2. Install the covidData R package.
3. Install the hubEnsembles R package.
4. Install the covidHubUtils R package.
5. Install the sarix python module:
   • clone the sarix repository and from within that directory, run pip3 install -e .

workflow

1. run make sarix in root directory
2. submit forecast submission file from weekly-submission/sarix-forecasts/UMass-sarix/ to the COVID-19 Forecast Hub as a PR.
3. commit and push the generated CSV file and the PDF of plots from the sarix model.