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1000 Titel
  • Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020
1000 Autor/in
  1. Mizumoto, Kenji |
  2. Kagaya, Katsushi |
  3. Zarebski, Alexander |
  4. Chowell, Gerardo |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-03-12
1000 Erschienen in
1000 Quellenangabe
  • 25(10):2000180
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.2807/1560-7917.ES.2020.25.10.2000180 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078829/ |
1000 Ergänzendes Material
  • https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2020.25.10.2000180#supplementary_data |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • On 5 February 2020, in Yokohama, Japan, a cruise ship hosting 3,711 people underwent a 2-week quarantine after a former passenger was found with COVID-19 post-disembarking. As at 20 February, 634 persons on board tested positive for the causative virus. We conducted statistical modelling to derive the delay-adjusted asymptomatic proportion of infections, along with the infections’ timeline. The estimated asymptomatic proportion was 17.9% (95% credible interval (CrI): 15.5–20.2%). Most infections occurred before the quarantine start.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal asymptomatic
lokal quarantine
lokal corona
lokal Japan
lokal outbreak
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TWl6dW1vdG8sIEtlbmpp|https://frl.publisso.de/adhoc/uri/S2FnYXlhLCBLYXRzdXNoaQ==|https://frl.publisso.de/adhoc/uri/WmFyZWJza2ksIEFsZXhhbmRlcg==|https://frl.publisso.de/adhoc/uri/Q2hvd2VsbCwgR2VyYXJkbw==
1000 Label
1000 Förderer
  1. Japan Society for the Promotion of Science |
  2. Ministry of Education, Culture, Sport, Science & Technology of Japan |
  3. Oxford Martin School, University of Oxford |
  4. National Science Foundation |
  5. National Institutes of Health |
  6. Agricultural Research Service |
1000 Fördernummer
  1. 18K17368; 18K19336; 19H05330
  2. -
  3. -
  4. 1414374
  5. 1414374
  6. 1414374
1000 Förderprogramm
  1. KAKENHI Grant
  2. Leading Initiative for Excellent Young Researchers
  3. Programme on Pandemic Genomics
  4. Ecology and Evolution of Infectious Diseases program
  5. Ecology and Evolution of Infectious Diseases program
  6. Ecology and Evolution of Infectious Diseases program
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Japan Society for the Promotion of Science |
    1000 Förderprogramm KAKENHI Grant
    1000 Fördernummer 18K17368; 18K19336; 19H05330
  2. 1000 joinedFunding-child
    1000 Förderer Ministry of Education, Culture, Sport, Science & Technology of Japan |
    1000 Förderprogramm Leading Initiative for Excellent Young Researchers
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Oxford Martin School, University of Oxford |
    1000 Förderprogramm Programme on Pandemic Genomics
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer National Science Foundation |
    1000 Förderprogramm Ecology and Evolution of Infectious Diseases program
    1000 Fördernummer 1414374
  5. 1000 joinedFunding-child
    1000 Förderer National Institutes of Health |
    1000 Förderprogramm Ecology and Evolution of Infectious Diseases program
    1000 Fördernummer 1414374
  6. 1000 joinedFunding-child
    1000 Förderer Agricultural Research Service |
    1000 Förderprogramm Ecology and Evolution of Infectious Diseases program
    1000 Fördernummer 1414374
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6419641.rdf
1000 Erstellt am 2020-04-01T15:26:27.802+0200
1000 Erstellt von 25
1000 beschreibt frl:6419641
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Tue Apr 07 11:42:21 CEST 2020
1000 Objekt bearb. Tue Apr 07 11:42:21 CEST 2020
1000 Vgl. frl:6419641
1000 Oai Id
  1. oai:frl.publisso.de:frl:6419641 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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