Chinazzi 2020.

Study characteristics
Study design	Mathematical modelling study  Description: individual‐based, stochastic, and spatial meta‐population epidemic model  The global epidemic and mobility model (GLEAM) uses a meta‐population network approach which divides the real‐world population in subpopulations centered around transportation hubs. Ground and air travel mobility flows are estimated from real‐world data and transmission dynamics are estimated in each subpopulation using a SEIR model. Model assumes the detection of imported cases to not be lower than 40% and travel probabilities, susceptibility and contact patterns to be homogenous.
Disease	COVID‐19
Travel‐related control measure(s)	International travel restrictions International travel restrictions on China, including suspension and limitation of flights to and from China  Date of implementation: Wuhan travel ban implemented on 23 January 2020; China travel restrictions implemented on 1 February 2020.
Country implementing the measure(s)	Country protected by the measure: n.r. Country restricted by the measure: China
Outcome(s)	Cases avoided due to the measure Outcome: number of imported cases  Follow‐up: 1 January – 1 March 2020
Notes	COI: “M.E.H. reports grants from the National Institute of General Medical Sciences during the conduct of the study; A.V. reports grants and personal fees from Metabiota, Inc., outside of the submitted work; M.C. and A.P.yP. report grants from Metabiota, Inc., outside of the submitted work; H.Y. reports grants from Glaxosmithkline (China) Investment Co., Ltd., Yichang HEC Changjiang Pharmaceutical Co., Ltd, Sanofi Pasteur, and Shanghai Roche Pharmaceuticals Company, outside of the submitted work. The authors declare no other relationships or activities that could appear to have influenced the submitted work.” Funding: “M.E.H. acknowledges the support of the MIDASU54GM111274. S.M. and M.A. acknowledge support from the EU H2020 MOOD project. C.G. and L.R. acknowledge support from the EU H2020 Icarus project. M.C. and A.V. acknowledge support from Google Cloud Healthcare and Life Sciences Solutions via the GCP research credits program. The findings and conclusions in this study are those of the authors and do not necessarily represent the official position of the funding agencies, the National Institutes of Health, or the U.S. Department of Health and Human Services.”