team_name: UNED model_name: PreCoV2 v0.1 model_abbr: UNED-PreCoV2 model_contributors: José L. Aznarte (UNED) , César Pérez (Inverence) , José Almagro (Inverence) , Pedro Álvarez - Roxu , Álvaro Ortiz (POPULATE) , Fernando Blat (POPULATE) institution_affil: Universidad Nacional de Educacion a Distancia -- UNED (www.uned.es), Inverence -- Bayesian Data Modelling to drive Business Strategy (www.inverence.com), Populate (www.populate.tools) website_url: https://precov2.org license: cc-by-sa-4.0 team_model_designation: primary methods: Bayesian time series models with ARIMA noise and fixed transfer functions for each input. team_funding: UNED, Inverence, POPULATE, Instituto de Salud Carlos III, Gobierno de España data_inputs: EsCovid19Data (https://github.com/montera34/escovid19data) and Google. citation: https://precov2.org/metodologia twitter_handles: jlaznarte, inverence