Literature DB >> 34182979

Understanding norovirus reporting patterns in England: a mixed model approach.

N Ondrikova1,2, H E Clough3,4, N A Cunliffe3,5, M Iturriza-Gomara3,6, R Vivancos4,5,7, J P Harris3,5.   

Abstract

BACKGROUND: Norovirus has a higher level of under-reporting in England compared to other intestinal infectious agents such as Campylobacter or Salmonella, despite being recognised as the most common cause of gastroenteritis globally. In England, this under-reporting is a consequence of the frequently mild/self-limiting nature of the disease, combined with the passive surveillance system for infectious diseases reporting. We investigated heterogeneity in passive surveillance system in order to improve understanding of differences in reporting and laboratory testing practices of norovirus in England.
METHODS: The reporting patterns of norovirus relating to age and geographical region of England were investigated using a multivariate negative binomial model. Multiple model formulations were compared, and the best performing model was determined by proper scoring rules based on one-week-ahead predictions. The reporting patterns are represented by epidemic and endemic random intercepts; values close to one and less than one imply a lower number of reports than expected in the given region and age-group.
RESULTS: The best performing model highlighted atypically large and small amounts of reporting by comparison with the average in England. Endemic random intercept varied from the lowest in East Midlands in those in the under 5 year age-group (0.36, CI 0.18-0.72) to the highest in the same age group in South West (3.00, CI 1.68-5.35) and Yorkshire & the Humber (2.93, CI 1.74-4.94). Reporting by age groups showed the highest variability in young children.
CONCLUSION: We identified substantial variability in reporting patterns of norovirus by age and by region of England. Our findings highlight the importance of considering uncertainty in the design of forecasting tools for norovirus, and to inform the development of more targeted risk management approaches for norovirus disease.

Entities:  

Keywords:  HHH4; Mixed-effects; Negative binomial; Norovirus; Public health surveillance; Underestimation

Year:  2021        PMID: 34182979     DOI: 10.1186/s12889-021-11317-3

Source DB:  PubMed          Journal:  BMC Public Health        ISSN: 1471-2458            Impact factor:   3.295


  12 in total

Review 1.  Noroviruses everywhere: has something changed?

Authors:  Mary K Estes; Bv Verkataram Prasad; Robert L Atmar
Journal:  Curr Opin Infect Dis       Date:  2006-10       Impact factor: 4.915

2.  Predictive assessment of a non-linear random effects model for multivariate time series of infectious disease counts.

Authors:  M Paul; L Held
Journal:  Stat Med       Date:  2011-01-17       Impact factor: 2.373

3.  Incorporating social contact data in spatio-temporal models for infectious disease spread.

Authors:  Sebastian Meyer; Leonhard Held
Journal:  Biostatistics       Date:  2017-04-01       Impact factor: 5.899

4.  Norovirus Surveillance: An Epidemiological Perspective.

Authors:  John P Harris
Journal:  J Infect Dis       Date:  2016-02-01       Impact factor: 5.226

Review 5.  The burden of norovirus gastroenteritis: an important foodborne and healthcare-related infection.

Authors:  G Belliot; B A Lopman; K Ambert-Balay; P Pothier
Journal:  Clin Microbiol Infect       Date:  2014-08       Impact factor: 8.067

6.  Longitudinal study of infectious intestinal disease in the UK (IID2 study): incidence in the community and presenting to general practice.

Authors:  Clarence C Tam; Laura C Rodrigues; Laura Viviani; Julie P Dodds; Meirion R Evans; Paul R Hunter; Jim J Gray; Louise H Letley; Greta Rait; David S Tompkins; Sarah J O'Brien
Journal:  Gut       Date:  2011-06-27       Impact factor: 23.059

7.  Deaths from norovirus among the elderly, England and Wales.

Authors:  John P Harris; W John Edmunds; Richard Pebody; David W Brown; Ben A Lopman
Journal:  Emerg Infect Dis       Date:  2008-10       Impact factor: 6.883

8.  Social contacts and mixing patterns relevant to the spread of infectious diseases.

Authors:  Joël Mossong; Niel Hens; Mark Jit; Philippe Beutels; Kari Auranen; Rafael Mikolajczyk; Marco Massari; Stefania Salmaso; Gianpaolo Scalia Tomba; Jacco Wallinga; Janneke Heijne; Malgorzata Sadkowska-Todys; Magdalena Rosinska; W John Edmunds
Journal:  PLoS Med       Date:  2008-03-25       Impact factor: 11.069

9.  Emergence of the GII-4 Norovirus Sydney2012 strain in England, winter 2012-2013.

Authors:  David J Allen; Natalie L Adams; Farah Aladin; John P Harris; David W G Brown
Journal:  PLoS One       Date:  2014-02-13       Impact factor: 3.240

10.  Economic Cost of Campylobacter, Norovirus and Rotavirus Disease in the United Kingdom.

Authors:  Clarence C Tam; Sarah J O'Brien
Journal:  PLoS One       Date:  2016-02-01       Impact factor: 3.240

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