Exploiting routinely collected severe case data to monitor and predict influenza outbreaks.
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Authors
Boddington, Nicki
Pebody, Richard G
Publication Date
2018-06-26Journal Title
BMC public health
ISSN
1471-2458
Volume
18
Issue
1
Pages
790
Language
eng
Type
Article
Physical Medium
Electronic
Metadata
Show full item recordCitation
Corbella, A., Zhang, X., Birrell, P., Boddington, N., Pebody, R. G., Presanis, A., & De Angelis, D. (2018). Exploiting routinely collected severe case data to monitor and predict influenza outbreaks.. BMC public health, 18 (1), 790. https://doi.org/10.1186/s12889-018-5671-7
Keywords
Humans, Hospitalization, Severity of Illness Index, Population Surveillance, Models, Statistical, Bayes Theorem, Retrospective Studies, Seasons, Disease Outbreaks, Forecasting, Schools, Holidays, England, Influenza, Human
Identifiers
External DOI: https://doi.org/10.1186/s12889-018-5671-7
This record's URL: https://www.repository.cam.ac.uk/handle/1810/284124