Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study

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Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1471-2458
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study ; volume:20 ; number:1 ; day:15 ; month:4 ; year:2020 ; pages:1-11 ; date:12.2020
BMC public health ; 20, Heft 1 (15.4.2020), 1-11, 12.2020

Creator
Birrell, Paul J.
Zhang, Xu-Sheng
Corbella, Alice
Leeuwen, Edwin van
Panagiotopoulos, Nikolaos
Hoschler, Katja
Elliot, Alex J.
McGee, Maryia
Lusignan, Simon de
Presanis, Anne M.
Baguelin, Marc
Zambon, Maria
Charlett, André
Pebody, Richard G.
Angelis, Daniela De
Contributor
SpringerLink (Online service)

DOI
10.1186/s12889-020-8455-9
URN
urn:nbn:de:101:1-2020062814360250584008
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:56 AM CEST

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Associated

  • Birrell, Paul J.
  • Zhang, Xu-Sheng
  • Corbella, Alice
  • Leeuwen, Edwin van
  • Panagiotopoulos, Nikolaos
  • Hoschler, Katja
  • Elliot, Alex J.
  • McGee, Maryia
  • Lusignan, Simon de
  • Presanis, Anne M.
  • Baguelin, Marc
  • Zambon, Maria
  • Charlett, André
  • Pebody, Richard G.
  • Angelis, Daniela De
  • SpringerLink (Online service)

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