team_name: Epiforecasts / London School of Hygiene and Tropical Medicine
model_name: EpiExpert Rt (epiforecasts)
model_abbr: epiforecasts-EpiExpert_Rt
model_contributors:
  - name: Nikos Bosse
    email: nikos.bosse@lshtm.ac.uk
  - name: Sam Abbott
    email: sam.abbott@lshtm.ac.uk
  - name: 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.