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. 2020 May 8;27(5):taaa068. doi: 10.1093/jtm/taaa068

Table 1.

Overview of parameter assumptions for the model

Parameter Value Source
R 0, basic reproduction number Central 95% range is 1.4–3.9 Gamma distributed, Inline graphic Li et al.10
λ 0, rate of arrival of infected travellers (individuals per week) at time when interventions are introduced 0.1, 1, or 10 or 100 Assumption
θ, probability that infected traveller is not detected by screening Exit screening only: 46% (95% CI: 37%, 57%) Entry and exit screening: 42% (95% CI: 33%, 53%) No screening: 100% (100%, 100%) Quilty et al.6
ρ, effectiveness of traveller sensitisation 0%, 25%, Sensitivity analyses: 50% Gostic et al., Hellewell et al.5,8
Inline graphic, epidemic growth rate (per day) Central 95% range is 0.05–0.16 Gamma distributed, Inline graphic Li et al.10
Inline graphic, probability of outbreak caused by a single infected traveller (without and with intervention, respectively) Solution to Equation 1 with Inline graphic for Inline graphic and Inline graphicfor Inline graphic Hartfield and Alizon16
Inline graphic, number of infected arrivals required to trigger an outbreak in absence of interventions Inline graphic quantile of a geometric distribution with probability Inline graphic Derived
Inline graphic, number of infected arrivals required to trigger an outbreak in presence of interventions Inline graphic quantile (matched to above) of a geometric distribution with probability Inline graphic Derived
Inline graphic, arrival time for the infected traveller who triggers an outbreak, without and with interventions Poisson process with intensity Inline graphic Derived
k, dispersion parameter for number of secondary infections 0.54 Sensitivity analyses: 0.1 and 2.00 (influenza-like) Riou and Althaus, Lloyd-Smith et al., Endo et al.20,22,23