WeightNameValue
1000 Wichtiger Hinweis
    Dieses Objekt wurde gelöscht
1000 Titel
  • The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application
1000 Autor/in
  1. Lauer, Stephen A. |
  2. Grantz, Kyra H. |
  3. Bi, Qifang |
  4. Jones, Forrest K. |
  5. Zheng, Qulu |
  6. Meredith, Hannah R. |
  7. Azman, Andrew S. |
  8. Reich, Nicholas G. |
  9. Lessler, Justin |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-03-10
1000 Erschienen in
1000 Quellenangabe
  • Epub ahead of print (M20-0504)
1000 Verlagsversion
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081172/ |
  • https://www.medrxiv.org/content/10.1101/2020.02.02.20020016v1 |
  • https://doi.org/10.7326/M20-0504 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: A novel human coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified in China in December 2019. There is limited support for many of its key epidemiologic features, including the incubation period for clinical disease (coronavirus disease 2019 [COVID-19]), which has important implications for surveillance and control activities. OBJECTIVE: To estimate the length of the incubation period of COVID-19 and describe its public health implications. DESIGN: Pooled analysis of confirmed COVID-19 cases reported between 4 January 2020 and 24 February 2020. SETTING: News reports and press releases from 50 provinces, regions, and countries outside Wuhan, Hubei province, China. PARTICIPANTS: Persons with confirmed SARS-CoV-2 infection outside Hubei province, China. MEASUREMENTS: Patient demographic characteristics and dates and times of possible exposure, symptom onset, fever onset, and hospitalization. RESULTS: There were 181 confirmed cases with identifiable exposure and symptom onset windows to estimate the incubation period of COVID-19. The median incubation period was estimated to be 5.1 days (95% CI, 4.5 to 5.8 days), and 97.5% of those who develop symptoms will do so within 11.5 days (CI, 8.2 to 15.6 days) of infection. These estimates imply that, under conservative assumptions, 101 out of every 10 000 cases (99th percentile, 482) will develop symptoms after 14 days of active monitoring or quarantine. LIMITATION: Publicly reported cases may overrepresent severe cases, the incubation period for which may differ from that of mild cases. CONCLUSION: This work provides additional evidence for a median incubation period for COVID-19 of approximately 5 days, similar to SARS. Our results support current proposals for the length of quarantine or active monitoring of persons potentially exposed to SARS-CoV-2, although longer monitoring periods might be justified in extreme cases.
1000 Sacherschließung
gnd 1206347392 COVID-19
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TGF1ZXIsIFN0ZXBoZW4gQS4=|https://frl.publisso.de/adhoc/uri/R3JhbnR6LCBLeXJhIEgu|https://frl.publisso.de/adhoc/uri/QmksIFFpZmFuZw==|https://frl.publisso.de/adhoc/uri/Sm9uZXMsIEZvcnJlc3QgSy4=|https://frl.publisso.de/adhoc/uri/WmhlbmcsIFF1bHU=|https://frl.publisso.de/adhoc/uri/TWVyZWRpdGgsIEhhbm5haCBSLg==|https://frl.publisso.de/adhoc/uri/QXptYW4sIEFuZHJldyBTLg==|https://frl.publisso.de/adhoc/uri/UmVpY2gsIE5pY2hvbGFzIEcu|https://frl.publisso.de/adhoc/uri/TGVzc2xlciwgSnVzdGlu
1000 Hinweis
  • This article is made available via the PMC Open Access Subset for unrestricted re-use for research, analyses, and text and data mining through PubMed Central: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081172/. This manuscript was posted as a preprint on medRxiv on 4 February 2020. doi:10.1101/2020.02.02.20020016
1000 Label
1000 Förderer
  1. Centers for Disease Control and Prevention |
  2. National Institute of Allergy and Infectious Diseases |
  3. National Institute of General Medical Sciences |
  4. Alexander von Humboldt-Stiftung |
1000 Fördernummer
  1. NU2GGH002000
  2. R01 AI135115
  3. R35 GM119582
  4. -
1000 Förderprogramm
  1. -
  2. -
  3. -
  4. -
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Centers for Disease Control and Prevention |
    1000 Förderprogramm -
    1000 Fördernummer NU2GGH002000
  2. 1000 joinedFunding-child
    1000 Förderer National Institute of Allergy and Infectious Diseases |
    1000 Förderprogramm -
    1000 Fördernummer R01 AI135115
  3. 1000 joinedFunding-child
    1000 Förderer National Institute of General Medical Sciences |
    1000 Förderprogramm -
    1000 Fördernummer R35 GM119582
  4. 1000 joinedFunding-child
    1000 Förderer Alexander von Humboldt-Stiftung |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6419366.rdf
1000 Erstellt am 2020-03-26T08:06:19.305+0100
1000 Erstellt von 25
1000 beschreibt frl:6419366
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Wed Dec 14 11:19:44 CET 2022
1000 Objekt bearb. Wed Apr 08 11:54:42 CEST 2020
1000 Vgl. frl:6419366
1000 Oai Id
  1. oai:frl.publisso.de:frl:6419366 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten private
1000 Gegenstand von

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