A Bayesian autoregressive model using weekly incidence data designed to run as a Github action. Both cases and the growth rate are assumed to be AR(1) processes with the growth rate being differenced and scaled by a decay parameter. The model is implemented using the forecast.vocs R package.
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COVID-19 cases forecasts for the ECDC Forecast Hub
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seabbs/ecdc-weekly-growth-forecasts
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COVID-19 cases forecasts for the ECDC Forecast Hub
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License
Unknown, MIT licenses found
Licenses found
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LICENSE
MIT
LICENSE.md