team_name: Epiforecasts / London School of Hygiene and Tropical Medicine model_name: EpiExpert Rt (epiforecasts) model_abbr: epiforecasts-EpiExpert_Rt model_contributors: Nikos Bosse , Sam Abbott , Sebastian Funk website_url: https://epiforecasts.io/ license: mit team_model_designation: other methods: Mean ensemble of human predictions of Rt which get mapped to cases and deaths using a renewal equation team_funding: Funding by the Health Protection Research Unit (grant code NIHR200908) data_inputs: ECDC deaths and cases citation: https://github.com/epiforecasts/covid-german-forecasts methods_long: "Forecasts of Rt from experts and non-experts are elicited using a shinyApp. \ \ Individuals choose a distribution (default is normal) for Rt and change the \ \ median and width of that predictive distribution for evey forecast horizon. \ \ Based on individual forecasts, samples are drawn from the individual forecast \ \ distributions. These samples are used to simulate cases and deaths based on a \ \ renewal equation using the R package EpiNow2."