team_name: UNED model_name: PreCoV2 v0.1 model_abbr: UNED-PreCoV2 model_contributors: - name: José L. Aznarte affiliation: Universidad Nacional de Educacion a Distancia -- UNED (www.uned.es) email: jlaznarte@dia.uned.es twitter: jlaznarte - name: César Pérez affiliation: Inverence -- Bayesian Data Modelling to drive Business Strategy (www.inverence.com) email: cesar.perez@inverence.com twitter: inverence - name: José Almagro affiliation: Inverence -- Bayesian Data Modelling to drive Business Strategy (www.inverence.com) email: jose.almagro@inverence.com - name: Pedro Álvarez affiliation: Roxu email: pag@xsto.info - name: Álvaro Ortiz affiliation: Populate (www.populate.tools) email: alvaro@populate.tools - name: Fernando Blat affiliation: Populate (www.populate.tools) email: fernando@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