Download
s41421-020-0148-0.pdf 950,85KB
WeightNameValue
1000 Titel
  • Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China
1000 Autor/in
  1. Wang, Huwen |
  2. Wang, Zezhou |
  3. Dong, Yinqiao |
  4. Chang, Ruijie |
  5. Xu, Chen |
  6. Yu, Xiaoyue |
  7. Zhang, Shuxian |
  8. Tsamlag, Lhakpa |
  9. Shang, Meili |
  10. Huang, Jinyan |
  11. Wang, Ying |
  12. Xu, Gang |
  13. Shen, Tian |
  14. Zhang, Xinxin |
  15. Cai, Yong |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-02-24
1000 Erschienen in
1000 Quellenangabe
  • 6:10
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41421-020-0148-0 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039910/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • An outbreak of clusters of viral pneumonia due to a novel coronavirus (2019-nCoV/SARS-CoV-2) happened in Wuhan, Hubei Province in China in December 2019. Since the outbreak, several groups reported estimated R0 of Coronavirus Disease 2019 (COVID-19) and generated valuable prediction for the early phase of this outbreak. After implementation of strict prevention and control measures in China, new estimation is needed. An infectious disease dynamics SEIR (Susceptible, Exposed, Infectious, and Removed) model was applied to estimate the epidemic trend in Wuhan, China under two assumptions of Rt. In the first assumption, Rt was assumed to maintain over 1. The estimated number of infections would continue to increase throughout February without any indication of dropping with Rt = 1.9, 2.6, or 3.1. The number of infections would reach 11,044, 70,258, and 227,989, respectively, by 29 February 2020. In the second assumption, Rt was assumed to gradually decrease at different phases from high level of transmission (Rt = 3.1, 2.6, and 1.9) to below 1 (Rt = 0.9 or 0.5) owing to increasingly implemented public health intervention. Several phases were divided by the dates when various levels of prevention and control measures were taken in effect in Wuhan. The estimated number of infections would reach the peak in late February, which is 58,077–84,520 or 55,869–81,393. Whether or not the peak of the number of infections would occur in February 2020 may be an important index for evaluating the sufficiency of the current measures taken in China. Regardless of the occurrence of the peak, the currently strict measures in Wuhan should be continuously implemented and necessary strict public health measures should be applied in other locations in China with high number of COVID-19 cases, in order to reduce Rt to an ideal level and control the infection.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Immunology
lokal Autoimmunity
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/V2FuZywgSHV3ZW4=|https://frl.publisso.de/adhoc/uri/V2FuZywgWmV6aG91|https://frl.publisso.de/adhoc/uri/RG9uZywgWWlucWlhbw==|https://frl.publisso.de/adhoc/uri/Q2hhbmcsIFJ1aWppZQ==|https://frl.publisso.de/adhoc/uri/WHUsIENoZW4=|https://frl.publisso.de/adhoc/uri/WXUsIFhpYW95dWU=|https://frl.publisso.de/adhoc/uri/WmhhbmcsIFNodXhpYW4=|https://frl.publisso.de/adhoc/uri/VHNhbWxhZywgTGhha3Bh|https://frl.publisso.de/adhoc/uri/U2hhbmcsIE1laWxp|https://frl.publisso.de/adhoc/uri/SHVhbmcsIEppbnlhbg==|https://frl.publisso.de/adhoc/uri/V2FuZywgWWluZw==|https://frl.publisso.de/adhoc/uri/WHUsIEdhbmc=|https://frl.publisso.de/adhoc/uri/U2hlbiwgVGlhbg==|https://frl.publisso.de/adhoc/uri/WmhhbmcsIFhpbnhpbg==|https://frl.publisso.de/adhoc/uri/Q2FpLCBZb25n
1000 Label
1000 Förderer
  1. Shanghai Jiao Tong University |
  2. National Key Research and Development Project |
  3. National Natural Science Foundation of China |
1000 Fördernummer
  1. YG2020YQ06
  2. 2018YFC1705100; 2018YFC1705103
  3. 71673187
1000 Förderprogramm
  1. Medicine and Engineering Interdisciplinary Research Fund
  2. -
  3. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Shanghai Jiao Tong University |
    1000 Förderprogramm Medicine and Engineering Interdisciplinary Research Fund
    1000 Fördernummer YG2020YQ06
  2. 1000 joinedFunding-child
    1000 Förderer National Key Research and Development Project |
    1000 Förderprogramm -
    1000 Fördernummer 2018YFC1705100; 2018YFC1705103
  3. 1000 joinedFunding-child
    1000 Förderer National Natural Science Foundation of China |
    1000 Förderprogramm -
    1000 Fördernummer 71673187
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6419540.rdf
1000 Erstellt am 2020-03-30T13:57:54.971+0200
1000 Erstellt von 25
1000 beschreibt frl:6419540
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Mon Mar 30 14:00:45 CEST 2020
1000 Objekt bearb. Mon Mar 30 14:00:34 CEST 2020
1000 Vgl. frl:6419540
1000 Oai Id
  1. oai:frl.publisso.de:frl:6419540 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source