Binny 2020.

Study characteristics
Study design	Mathematical modelling study  Description: continuous‐time stochastic branching process model of COVID‐19 transmission and control developed for New Zealand Initial seed cases represent overseas arrivals replicating real case data. At each time step (day) individuals produce a Poisson distributed number of secondary infections with the mean corresponding to an equation of transmission parameters. Transmission parameters are based on theoretical and empirical distributions. Interventions are modeled based on change in transmission parameters. Several alternative timing scenarios and components of New Zealand's strategy are compared.
Disease	COVID‐19
Travel‐related control measure(s)	Border closure and quarantine of travellers Applied to all except returning citizens and residence Mandatory home quarantine of all international arrivals for 14 days Date of implementation: 11 ‐ 15 March 2020
Country implementing the measure(s)	Country protected by the measures: New Zealand Countries restricted by the measures: all other countries
Outcome(s)	Cases avoided due to the measure Outcome 1: maximum number of daily new reported cases Outcome 2: cumulative number of cases Follow‐up: 10 March ‐ 12 May 2020 Shift in epidemic development Outcome 3: number of daily cases at peak Outcome 4: probability of eliminating epidemic Follow‐up: 10 March ‐ 12 May 2020
Notes	COI: n.r. Funding: n.r.