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Dataset Information

Framework for assessing and easing global COVID-19 travel restrictions.


ABSTRACT: During the COVID-19 pandemic, many countries implemented international travel restrictions that aimed to contain viral spread while still allowing necessary cross-border travel for social and economic reasons. The relative effectiveness of these approaches for controlling the pandemic has gone largely unstudied. Here we developed a flexible network meta-population model to compare the effectiveness of international travel policies, with a focus on evaluating the benefit of policy coordination. Because country-level epidemiological parameters are unknown, they need to be estimated from data; we accomplished this using approximate Bayesian computation, given the nature of our complex stochastic disease transmission model. Based on simulation and theoretical insights we find that, under our p

SUBMITTER: Le TM 

PROVIDER: S-EPMC9049014 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature