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



Birrell, Paul J, Zhang, Xu-Sheng, Corbella, Alice, van Leeuwen, Edwin, Panagiotopoulos, Nikolaos, Hoschler, Katja, Elliot, Alex J ORCID: 0000-0002-6414-3065, McGee, Maryia, de Lusignan, Simon, Presanis, Anne M
et al (show 5 more authors) (2020) Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study. BMC PUBLIC HEALTH, 20 (1).

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Item Type: Article
Uncontrolled Keywords: Transmission models, Seasonal influenza, Intensive care admissions, GP consultations, Nowcasting, Forecasting
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Population Health
Depositing User: Symplectic Admin
Date Deposited: 23 Jul 2021 10:09
Last Modified: 21 Dec 2021 23:10
DOI: 10.1186/s12889-020-8455-9
Open Access URL: http://doi.org/10.1186/s12889-020-8455-9
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3131045