2021
DOI: 10.1017/s0950268821002387
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What effect might border screening have on preventing the importation of COVID-19 compared with other infections? A modelling study

Abstract: The effectiveness of screening travellers during times of international disease outbreak is contentious, especially as the reduction in the risk of disease importation can be very small. Border screening typically consists of travellers being thermally scanned for signs of fever and/or completing a survey declaring any possible symptoms prior to admission to their destination country; while more thorough testing typically exists, these would generally prove more disruptive to deploy. In this paper, we describe… Show more

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Cited by 11 publications
(18 citation statements)
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References 12 publications
(14 reference statements)
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“…Our model uses a similar Monte Carlo based structure as presented by Bays et al for use in studying border screening policies[4], [5]. The model starts by simulating 500,000 individuals, all being assumed to have become infected with COVID-19 at some point prior, each of which is then randomly assigned an infectious period (given in days), t inf , sampled from a gamma distribution (shape = 2, scale = 2.1) which has been fitted to real-time data using methods described by Birrell et al[6].…”
Section: Methodsmentioning
confidence: 99%
“…Our model uses a similar Monte Carlo based structure as presented by Bays et al for use in studying border screening policies[4], [5]. The model starts by simulating 500,000 individuals, all being assumed to have become infected with COVID-19 at some point prior, each of which is then randomly assigned an infectious period (given in days), t inf , sampled from a gamma distribution (shape = 2, scale = 2.1) which has been fitted to real-time data using methods described by Birrell et al[6].…”
Section: Methodsmentioning
confidence: 99%
“…Reasons for exclusion Arino 2021 (24) The study does not provide a specific effect measure for the air travel-related control measure Bays 2021 (26) The study does not measure the specified interventions Chang 2020 (27) The study does not assess the impact of an air travel-related control measure Chen 2020 (28) The study does not measure the specified interventions Chen 2021 (29) The study does not provide a specific effect measure for an air travel-related control measure Cheng 2021 (30) The study does not assess the impact of an air travel-related control measure Chevaliera 2021 (31) The study does not provide a specific effect measure for the air travel-related control measure Chinyoka 2021 (32) The study does not measure the specified interventions Colavita 2021 (33) The study does not assess the impact of an air travel-related control measure Cowling 2020 (34) The study does not provide a specific effect measure for the air travel-related control measure Cruz-Pacheco 2020 (35) The study does not provide a specific effect measure for an air travel-related control measure Ghafari 2021 (36) The study does not measure the specified outcomes Goel 2021 (37) The study does not measure the specified outcomes Grout 2021 (38) The study does not include air travellers Haddaway 2021…”
Section: Table 5 Characteristics Of Excluded Studies [Ordered By Stud...mentioning
confidence: 99%
“…In a recent paper [ 1 ], we described an adaptable model which could be used to assess the effectiveness of implementing a strict policy of on-arrival testing at airports during international disease outbreaks. We subsequently used this model to evaluate the probability that a single test at-point-of-arrival would be able to detect infected travellers across a range of scenarios, given that they were not detected by assumed exit screening (where evasion of exit screening was defined to occur in our model as individuals who have not fully incubated, thus being detectable to exit screening, by the time they boarded their flight).…”
Section: Introductionmentioning
confidence: 99%