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1000 Titel
  • SARS-Cov-2 trajectory predictions and scenario simulations from a global perspective: a modelling study
1000 Autor/in
  1. Yang, Tianan |
  2. Liu, Yexin |
  3. Deng, Wenhao |
  4. Zhao, Weigang |
  5. Deng, Jianwei |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-10-27
1000 Erschienen in
1000 Quellenangabe
  • 10:18319
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41598-020-75332-x |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591883/ |
1000 Ergänzendes Material
  • https://www.nature.com/articles/s41598-020-75332-x#Sec13 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The coronavirus SARS-CoV-2 emerging from Wuhan, China has developed into a global epidemic. Here, we combine both human mobility and non-pharmaceutical interventions (social-distancing and suspected-cases isolation) into SEIR transmission model to understand how coronavirus transmits in a global environment. Dynamic trends of region-specific time-variant reproduction number, social-distancing rate, work-resumption rate, and suspected-cases isolation rate have been estimated and plotted for each region by fitting stochastic transmission processes to the real total confirmed cases reported of each region. We find after shutdown in Wuhan, the reproduction number in Wuhan greatly declined from 6·982 (95% CI 2·558–14·668) on January 23rd, 2020 to 1.130 (95% CI 0.289–3.279) on February 7th, 2020, and there was a higher intervention level in terms of social-distancing and suspected-cases isolation in Wuhan than the Chinese average and Western average, for the period from the shutdown in Wuhan to mid-March. Future epidemic trajectories of Western countries up to October 10th, 2020, have been predicted with 95% confidence intervals. Through the scenario simulation, we discover the benefits of earlier international travel ban and rigorous intervention strategies, and the significance of non-pharmaceutical interventions. From a global perspective, it is vital for each country to control the risks of imported cases, and execute rigorous non-pharmaceutical interventions before successful vaccination development.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Medical research
lokal Diseases
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/WWFuZywgVGlhbmFu|https://frl.publisso.de/adhoc/uri/TGl1LCBZZXhpbg==|https://frl.publisso.de/adhoc/uri/RGVuZywgV2VuaGFv|https://frl.publisso.de/adhoc/uri/WmhhbywgV2VpZ2FuZw==|https://frl.publisso.de/adhoc/uri/RGVuZywgSmlhbndlaQ==
1000 Label
1000 Förderer
  1. National Natural Science Foundation of China |
  2. Beijing Social Science Fund |
  3. Beijing Municipal Commission of Education |
1000 Fördernummer
  1. 71974011; 71972012; 71804009
  2. 17JDGLB008; 17GLC043
  3. -
1000 Förderprogramm
  1. -
  2. -
  3. Special Fund for Joint Development Program
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Natural Science Foundation of China |
    1000 Förderprogramm -
    1000 Fördernummer 71974011; 71972012; 71804009
  2. 1000 joinedFunding-child
    1000 Förderer Beijing Social Science Fund |
    1000 Förderprogramm -
    1000 Fördernummer 17JDGLB008; 17GLC043
  3. 1000 joinedFunding-child
    1000 Förderer Beijing Municipal Commission of Education |
    1000 Förderprogramm Special Fund for Joint Development Program
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6425506.rdf
1000 Erstellt am 2021-02-03T13:33:05.347+0100
1000 Erstellt von 5
1000 beschreibt frl:6425506
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet 2021-02-18T10:10:30.380+0100
1000 Objekt bearb. Thu Feb 18 09:11:15 CET 2021
1000 Vgl. frl:6425506
1000 Oai Id
  1. oai:frl.publisso.de:frl:6425506 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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