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Estimating the trend of COVID-19 in Norway by combining multiple surveillance indicators

Code for paper "Estimating the trend of COVID-19 in Norway by combining multiple surveillance indicators" available as a preprint here.

The repository includes the code and data to reproduce all the results in the paper.

Data

The data sources are described in the paper and the raw data is available in the data folder. The prepare_data.R file in this folder is used to import and clean the data.

Code

  • estimate_growth_rates.R - Main file for estimating growth rates for all the indicators. Can run the estimates for different windown lenghts for the regression model
  • meta_analysis.R - Combines the separate growth rates into one combined growth rate using a randome effects meta-analysis
  • trend_models.R - Functions used in th other files
  • plot_paper.R - Creates the plots used in the paper. Depends on the results files generated by estimate_growth_rates.R and meta_analys.R

To run the analysis first run estimate_growth_rates.R, then meta_analysis.R and then plot_paper.R. Figures will be greated in the paper/figures folder.

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