Estimating age-stratified influenza-associated invasive pneumococcal disease in England: A time-series model based on population surveillance data.

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Authors
  Chiavenna, Chiara
  Presanis, Anne
  Charlett, Andre
  de Lusignan, Simon
Ladhani, Shamez
  Pebody, Richard G
  De Angelis, Daniela
Publication Date
2019-06-27
Journal Title
PLoS medicine
ISSN
1549-1277
Volume
16
Issue
6
Pages
e1002829
Language
eng
Type
Article
This Version
VoR
Physical Medium
Electronic-eCollection
Metadata
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Citation
Chiavenna, C., Presanis, A., Charlett, A., de Lusignan, S., Ladhani, S., Pebody, R. G., & De Angelis, D. (2019). Estimating age-stratified influenza-associated invasive pneumococcal disease in England: A time-series model based on population surveillance data.. PLoS medicine, 16 (6), e1002829. https://doi.org/10.1371/journal.pmed.1002829
Keywords
Humans, Pneumococcal Infections, Population Surveillance, Age Factors, Adolescent, Adult, Aged, Middle Aged, Child, Child, Preschool, Infant, Infant, Newborn, Female, Male, Influenza, Human, Influenza A Virus, H1N1 Subtype, Young Adult, Interrupted Time Series Analysis, Data Analysis
Sponsorship
MRC (unknown)
Public Health England (PHE) (AGREEMENT 15/11/16)
Identifiers
External DOI: https://doi.org/10.1371/journal.pmed.1002829
This record's URL: https://www.repository.cam.ac.uk/handle/1810/295614

Rights
Attribution 4.0 International
Licence URL: https://creativecommons.org/licenses/by/4.0/

Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International