Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV).
Identifieur interne : 000989 ( Ncbi/Curation ); précédent : 000988; suivant : 000990Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV).
Auteurs : Billy J. Quilty [Royaume-Uni] ; Sam Clifford [Royaume-Uni] ; Stefan Flasche ; Rosalind M. EggoSource :
- Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin [ 1560-7917 ] ; 2020.
Descripteurs français
- KwdFr :
- Dépistage systématique (), Dépistage systématique (normes), Fièvre (diagnostic), Humains, Infections à coronavirus (diagnostic), Infections à coronavirus (transmission), Infections à coronavirus (épidémiologie), Maladies transmissibles émergentes, Modèles théoriques, Pneumopathie virale (diagnostic), Pneumopathie virale (transmission), Pneumopathie virale (épidémiologie), Prise de décision, Santé publique, Surveillance de la population, Température du corps, Voyage aérien.
- MESH :
- diagnostic : Fièvre, Infections à coronavirus, Pneumopathie virale.
- normes : Dépistage systématique.
- épidémiologie : Infections à coronavirus, Pneumopathie virale.
- Dépistage systématique, Humains, Maladies transmissibles émergentes, Modèles théoriques, Prise de décision, Santé publique, Surveillance de la population, Température du corps, Voyage aérien.
English descriptors
- KwdEn :
- Air Travel, Body Temperature, Communicable Diseases, Emerging, Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Coronavirus Infections (transmission), Decision Making, Fever (diagnosis), Humans, Mass Screening (methods), Mass Screening (standards), Models, Theoretical, Pneumonia, Viral (diagnosis), Pneumonia, Viral (epidemiology), Pneumonia, Viral (transmission), Population Surveillance, Public Health.
- MESH :
- diagnosis : Coronavirus Infections, Fever, Pneumonia, Viral.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- methods : Mass Screening.
- standards : Mass Screening.
- transmission : Coronavirus Infections, Pneumonia, Viral.
- Air Travel, Body Temperature, Communicable Diseases, Emerging, Decision Making, Humans, Models, Theoretical, Population Surveillance, Public Health.
Abstract
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.
DOI: 10.2807/1560-7917.ES.2020.25.5.2000080
PubMed: 32046816
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Stefan Flasche<affiliation><nlm:affiliation>These authors contributed equally to this work.</nlm:affiliation>
<wicri:noCountry code="no comma">These authors contributed equally to this work.</wicri:noCountry>
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<affiliation><nlm:affiliation>These authors contributed equally to this work.</nlm:affiliation>
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Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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