An application of nowcasting methods: Cases of norovirus during the winter 2023/2024 in England
Analysis of surveillance data enhanced by nowcasting delayed reporting improves understanding over simple model assumptions, important for real-time decision making. The modelling approach needs to be informed by the patterns of the reporting delay and can have large impacts on operational performance and insights produced.
Authors
- Maria Tang (ORCID: https://orcid.org/0000-0002-9671-8302)
- Amy Douglas (ORCID: https://orcid.org/0000-0001-9270-1549)
- Jonathon Mellor (ORCID: https://orcid.org/0000-0002-8743-0817)
- Thomas R. Ward (ORCID: https://orcid.org/0000-0001-8602-5468)
- Christopher E. Overton (ORCID: https://orcid.org/0000-0002-8433-4010)
- Sarah R Deeny (ORCID: https://orcid.org/0000-0001-5994-1583)
- Oliver Polhill
- Ann Hoban
- Emilie Finch
- Rachel Christie (ORCID: https://orcid.org/0009-0009-3071-3259)
Institutions
- University of Liverpool (GB)
- London School of Hygiene & Tropical Medicine (GB)
- UK Health Security Agency (GB)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1371/journal.pcbi.1012849
- Citations
- 7
- Primary Topic
- Viral gastroenteritis research and epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 9.77