The figure depicts the estimated evolution of R
eff in Austria according to the software EpiEstim using two fixed values for the
parameter τ. (τ=13 is used by
AGES who is the main source for estimates of R
eff in Austria.)
In addition, the figure displays an enhanced version of EpiEstim developed by
epiforecast.io (LSHTM). For the latter estimator we depict
credible intervals (50%-CI and 90%-CI).
Based on case numbers reported on
April 9 (last update), the value of R
eff on
March 30 is estimated to lie between
0.97 and
1.03 (90%-CI), with a median of
1.0.
March 30 is the most recent day for which estimates are available as R
eff can only be estimated with a
time lag of approximately
10 days.