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Table 4 Table of settings used to benchmark the four models against each other

From: The impact of digital contact tracing on the SARS-CoV-2 pandemic—a comprehensive modelling study

Parameter/Setting

Benchmark value

Disease and population

Size of population

10k

Population structure

uniform

Transmission probability (\({\beta _{i}}\))

\(\begin{pmatrix}0.0595\\5.0\\3.2\end{pmatrix}\)

Contact rate

R0

Trans. prob. curve (μ,γ,β)

(−2.42, 2.08, 1.56)

Incubation time curve (μ,γ,β)

(0, 3.06, 2.44)

Fraction symptomatic (α)

0.5

Asymptomatic trans. scaling (\({\eta _{as}}\))

1.0

Interventions

Interventions start (\({f_{i}}\))

0.00

Quarantine duration

14 days

Tracing

Reported from symptoms (\({f_{m}}\))

1.0

Trace back (\({\Delta T _{\mathrm {trace}}}\))

14 [days]

App coverage (\({ p_{\mathrm {app}}}\))

1

Tracing efficiency (\({\eta _{\mathrm {DCT}}}\))

0.7

Tracing order

1

Trace uninfected contacts

False

Tracing delay (\({T_{\mathrm {delay}}}\))

0 [days]