team_name: Centre for Modelling of Biological and Social Processes model_name: SeirFilterLite model_abbr: bisop-seirfilterlite model_contributors: - name: Martin Šmíd - name: Jan Trnka - name: Vít Tuček - name: Milan Zajíček license: mit team_model_designation: secondary website_url: https://www.bisop.eu/ methods: A simple stochastic SEIR state space model team_funding: no funding data_inputs: John Hopkins data, Google Mobility Recors methods_long: A variant of SeirFilter (https://www.medrxiv.org/content/10.1101/2021.02.16.21251834v1) with compartnents S-E-Ia-Ip-Is-R-D where Ia are the asymptomatic, Ip the presymptomatic and Is the symptomatic. Only past data and the Google mobility indices used as inputs, the variability of R0 (virus variant, vaccination, seasonality) is handled via its estimation from past. In particular, R0 is estimated by the weighted time-average of reproduction number (computed as R(t)=(C(t) - C(t-7))/(C(t-5)-C(t-12))) divided by the estimated number of contacts (obtained from the Google mobilty indices).