Forecasting the long-term trend of COVID-19 epidemic using a dynamic model

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
2045-2322
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Forecasting the long-term trend of COVID-19 epidemic using a dynamic model ; volume:10 ; number:1 ; day:3 ; month:12 ; year:2020 ; pages:1-10 ; date:12.2020
Scientific reports ; 10, Heft 1 (3.12.2020), 1-10, 12.2020

Creator
Sun, Jichao
Chen, Xi
Zhang, Ziheng
Lai, Shengzhang
Zhao, Bo
Liu, Hualuo
Wang, Shuojia
Huan, Wenjing
Zhao, Ruihui
Ng, Man Tat Alexander
Zheng, Yefeng
Contributor
SpringerLink (Online service)

DOI
10.1038/s41598-020-78084-w
URN
urn:nbn:de:101:1-2021010818222160297984
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:36 AM CEST

Data provider

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Associated

  • Sun, Jichao
  • Chen, Xi
  • Zhang, Ziheng
  • Lai, Shengzhang
  • Zhao, Bo
  • Liu, Hualuo
  • Wang, Shuojia
  • Huan, Wenjing
  • Zhao, Ruihui
  • Ng, Man Tat Alexander
  • Zheng, Yefeng
  • SpringerLink (Online service)

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