This repository contains data and code for the manuscript Flexible Bayesian Nowcasting with application to COVID-19 fatalities in Sweden by Fanny Bergström, Felix Günther, Michael Höhle and Tom Britton at Stockholm University. The manuscript is available on arXiv.
Weekly updated nowcast estimates of COVID-19 fatalities and ICU admissions in Sweden using our proposed method are found at
https://staff.math.su.se/fanny.bergstrom/covid19-nowcasting.
The implementation of the different Nowcasting models are given in the folder stan_models.
The R code used for our analysis is structures as follows
- Data preprocessing.
- Definition of functions for fitting the nowcast models to given reporting dates for each model and saving the results of the post-processing of a fit.
- Estimation of chosen nowcast models and reporting dates.
- Summarize results of the nowcasts.
- Plots (incl. results of single days).