Clifford 2020b.

Study characteristics
Study design	Mathematical modelling study  Description: mathematical model estimating empirical distributions of transmission parameters Potential traveller trajectories under different quarantine and screening scenarios are calculated Scenarios are compared based on number of infectious travellers released and number of infectious days per released traveller
Disease	COVID‐19
Travel‐related control measure(s)	Screening at national borders and quarantine of travellers Procedures: quarantine for various lengths; multiple rounds of PCR testing: pre‐flight (mandatory in some countries), post‐flight, and follow‐up Date of implementation: n.r.
Country implementing the measure(s)	Country protected by the measure: United Kingdom Country restricted by the measure: EU, USA
Outcome(s)	Cases detected due to the measure Outcome 1: number of infectious travellers being released in the community Outcome 2: number of remaining infectious days for each infected traveller after their release from quarantine Follow‐up: ip to 14 days
Notes	COI: “Akira Endo received a research grant from Taisho Pharmaceutical Co. Ltd.” Funding: “The following funding sources are acknowledged as providing funding for the named authors. This research was partly funded by the Bill & Melinda Gates Foundation (INV‐003174: YL; NTD Modelling Consortium OPP1184344: CABP). DFID/Wellcome Trust (Epidemic Preparedness Coronavirus research programme 221303/Z/20/Z: CABP). This project has received funding from the European Union's Horizon 2020 research and innovation programme ‐ project EpiPose (101003688: WJE, YL). HDR UK (MR/S003975/1: RME). This research was partly funded by the National Institute for Health Research (NIHR) using UK aid from the UK Government to support global health research. The views expressed in this publication are those of the author(s) and not necessarily those of the NIHR or the UK Department of Health and Social Care (16/136/46: BJQ; 16/137/109: BJQ, YL; PR‐OD‐1017‐20002: WJE). UK MRC (MC_PC_19065 ‐ Covid 19:  Understanding the dynamics and drivers of the COVID‐19 epidemic using real‐time outbreak analytics: RME, SC, WJE, YL). Wellcome Trust (206250/Z/17/Z: TWR; 208812/Z/17/Z: SC, SFlasche). Alan Turing Institute and Nakajima Foundation (AE). No funding (YWDC).”