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).