Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37540, first published .
Predicting Norovirus in England Using Existing and Emerging Syndromic Data: Infodemiology Study

Predicting Norovirus in England Using Existing and Emerging Syndromic Data: Infodemiology Study

Predicting Norovirus in England Using Existing and Emerging Syndromic Data: Infodemiology Study

Nikola Ondrikova   1, 2, 3 ;   John P Harris   4 , PhD ;   Amy Douglas   5 ;   Helen E Hughes   2, 6 ;   Miren Iturriza-Gomara   7 , PhD ;   Roberto Vivancos   2, 4, 8 , MD ;   Alex J Elliot   2, 6 ;   Nigel A Cunliffe   1, 2 , PhD ;   Helen E Clough   1, 2 , PhD

1 Institute of Infection, Ecological and Veterinary Sciences, University of Liverpool, Liverpool, United Kingdom

2 National Institute for Health and Care Research Health Protection Research Unit in Gastrointestinal Infections, University of Liverpool, Liverpool, United Kingdom

3 Institute for Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom

4 Field Service, Health Protection Operations, United Kingdom Health Security Agency, Liverpool, United Kingdom

5 Gastrointestinal Infections and Food Safety (One Health) Division, United Kingdom Health Security Agency, London, United Kingdom

6 Real-time Syndromic Surveillance Team, Health Protection Operations, United Kingdom Health Security Agency, Birmingham, United Kingdom

7 Centre for Vaccine Innovation and Access, PATH, Geneva, Switzerland

8 National Institute for Health and Care Research Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool, United Kingdom

Corresponding Author:

  • Nikola Ondrikova
  • Institute of Infection, Ecological and Veterinary Sciences
  • University of Liverpool
  • Ronald Ross Building, 8 West Derby Street
  • Liverpool, L69 7BE
  • United Kingdom
  • Phone: 44 7445422498
  • Email: nikola.ondrikova@liverpool.ac.uk