Evidence map›Paper›PMID 34182979›Full record

ArticleBMC public health2021

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

N Ondrikova, H E Clough, N A Cunliffe, M Iturriza-Gomara, R Vivancos, J P Harris

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

N OndrikovaInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK. nikola.ondrikova@liverpool.ac.uk.
H E CloughInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
N A CunliffeInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
M Iturriza-GomaraInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
R VivancosNIHR Health Protection Unit in Gastrointestinal Infections, University of Liverpool, Liverpool, UK.
J P HarrisInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
University of Liverpool · GBHealth Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool · GBPublic Health England · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNorovirus 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.

methodsThe 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.

resultsThe 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.

conclusionWe 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.

Indexed as

Caliciviridae InfectionsGastroenteritisNorovirusChildChild, PreschoolDisease OutbreaksEnglandHumansHHH4Mixed-effectsNegative binomialNorovirusPublic health surveillanceUnderestimation

Identifiers

PMID34182979
PMCPMC8240379
OpenAlexW3173772623

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.