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Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV)
We evaluated effectiveness of thermal passenger screening for 2019-nCoV infection at airport exit and entry to inform public health decision-making. In our baseline scenario, we estimated that 46% (95% confidence interval: 36 to 58) of infected travellers would not be detected, depending on incubati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Centre for Disease Prevention and Control (ECDC)
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014668/ https://www.ncbi.nlm.nih.gov/pubmed/32046816 http://dx.doi.org/10.2807/1560-7917.ES.2020.25.5.2000080 |
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author | Quilty, Billy J Clifford, Sam Flasche, Stefan Eggo, Rosalind M |
author_facet | Quilty, Billy J Clifford, Sam Flasche, Stefan Eggo, Rosalind M |
author_sort | Quilty, Billy J |
collection | PubMed |
description | We evaluated effectiveness of thermal passenger screening for 2019-nCoV infection at airport exit and entry to inform public health decision-making. In our baseline scenario, we estimated that 46% (95% confidence interval: 36 to 58) of infected travellers would not be detected, depending on incubation period, sensitivity of exit and entry screening, and proportion of asymptomatic cases. Airport screening is unlikely to detect a sufficient proportion of 2019-nCoV infected travellers to avoid entry of infected travellers. |
format | Online Article Text |
id | pubmed-7014668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | European Centre for Disease Prevention and Control (ECDC) |
record_format | MEDLINE/PubMed |
spelling | pubmed-70146682020-02-25 Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV) Quilty, Billy J Clifford, Sam Flasche, Stefan Eggo, Rosalind M Euro Surveill Rapid Communication We evaluated effectiveness of thermal passenger screening for 2019-nCoV infection at airport exit and entry to inform public health decision-making. In our baseline scenario, we estimated that 46% (95% confidence interval: 36 to 58) of infected travellers would not be detected, depending on incubation period, sensitivity of exit and entry screening, and proportion of asymptomatic cases. Airport screening is unlikely to detect a sufficient proportion of 2019-nCoV infected travellers to avoid entry of infected travellers. European Centre for Disease Prevention and Control (ECDC) 2020-02-06 /pmc/articles/PMC7014668/ /pubmed/32046816 http://dx.doi.org/10.2807/1560-7917.ES.2020.25.5.2000080 Text en This article is copyright of the authors or their affiliated institutions, 2020. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made. |
spellingShingle | Rapid Communication Quilty, Billy J Clifford, Sam Flasche, Stefan Eggo, Rosalind M Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV) |
title | Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV) |
title_full | Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV) |
title_fullStr | Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV) |
title_full_unstemmed | Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV) |
title_short | Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV) |
title_sort | effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-ncov) |
topic | Rapid Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014668/ https://www.ncbi.nlm.nih.gov/pubmed/32046816 http://dx.doi.org/10.2807/1560-7917.ES.2020.25.5.2000080 |
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