Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV).
Identifieur interne : 000B70 ( PubMed/Corpus ); précédent : 000B69; suivant : 000B71Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV).
Auteurs : Billy J. Quilty ; Sam Clifford ; Stefan Flasche ; Rosalind M. EggoSource :
- Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin [ 1560-7917 ] ; 2020.
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
Links to Exploration step
pubmed:32046816Le document en format XML
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<affiliation><nlm:affiliation>Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.</nlm:affiliation>
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<author><name sortKey="Clifford, Sam" sort="Clifford, Sam" uniqKey="Clifford S" first="Sam" last="Clifford">Sam Clifford</name>
<affiliation><nlm:affiliation>Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.</nlm:affiliation>
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<author><name sortKey="Flasche, Stefan" sort="Flasche, Stefan" uniqKey="Flasche S" first="Stefan" last="Flasche">Stefan Flasche</name>
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<term>Coronavirus Infections (transmission)</term>
<term>Decision Making</term>
<term>Fever (diagnosis)</term>
<term>Humans</term>
<term>Mass Screening (methods)</term>
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<term>Models, Theoretical</term>
<term>Pneumonia, Viral (diagnosis)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (transmission)</term>
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<term>Pneumonia, Viral</term>
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<term>Body Temperature</term>
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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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<Abstract><AbstractText>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.</AbstractText>
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