Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2458
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
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
- Urheber
-
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
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12889-020-8455-9
- URN
-
urn:nbn:de:101:1-2020062814360250584008
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:56 MESZ
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Beteiligte
- 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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