Evidence map›Paper›PMID 29496658›Full record

ArticleJournal of medical Internet research2018

Self-Swabbing for Virological Confirmation of Influenza-Like Illness Among an Internet-Based Cohort in the UK During the 2014-2015 Flu Season: Pilot Study.

Clare Wenham, Eleanor R Gray, Candice E Keane, Matthew Donati, Daniela Paolotti, Richard Pebody, Ellen Fragaszy, Rachel A McKendry, W John Edmunds

Abstract readHistorical Article
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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  14. The potential value of crowdsourced surveillance systems in supplementing sentinel influenza networks: the case of France.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2018
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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

9 authors.

Clare WenhamDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0001-5378-3203
Eleanor R GrayLondon Centre for Nanotechnology, University College London, London, United Kingdom.ORCID 0000-0002-6515-839X
Candice E KeaneLondon Centre for Nanotechnology, University College London, London, United Kingdom.ORCID 0000-0001-9939-3825
Matthew DonatiBristol Public Health Laboratory, Public Health England, Bristol, United Kingdom.ORCID 0000-0002-7793-7622
Daniela PaolottiISI Foundation, Torino, Italy.ORCID 0000-0003-1356-3470
Richard PebodyCentre of Infectious Disease Surveillance and Control, Public Health England, London, United Kingdom.ORCID 0000-0002-9069-2885
Ellen FragaszyDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-0178-6098
Rachel A McKendryLondon Centre for Nanotechnology, University College London, London, United Kingdom.ORCID 0000-0003-2018-6829
W John EdmundsDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-9179-2917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoutine influenza surveillance, based on laboratory confirmation of viral infection, often fails to estimate the true burden of influenza-like illness (ILI) in the community because those with ILI often manage their own symptoms without visiting a health professional. Internet-based surveillance can complement this traditional surveillance by measuring symptoms and health behavior of a population with minimal time delay. Flusurvey, the UK's largest crowd-sourced platform for surveillance of influenza, collects routine data on more than 6000 voluntary participants and offers real-time estimates of ILI circulation. However, one criticism of this method of surveillance is that it is only able to assess ILI, rather than virologically confirmed influenza.

objectiveWe designed a pilot study to see if it was feasible to ask individuals from the Flusurvey platform to perform a self-swabbing task and to assess whether they were able to collect samples with a suitable viral content to detect an influenza virus in the laboratory.

methodsVirological swabbing kits were sent to pilot study participants, who then monitored their ILI symptoms over the influenza season (2014-2015) through the Flusurvey platform. If they reported ILI, they were asked to undertake self-swabbing and return the swabs to a Public Health England laboratory for multiplex respiratory virus polymerase chain reaction testing.

resultsA total of 700 swab kits were distributed at the start of the study; from these, 66 participants met the definition for ILI and were asked to return samples. In all, 51 samples were received in the laboratory, 18 of which tested positive for a viral cause of ILI (35%).

conclusionsThis demonstrated proof of concept that it is possible to apply self-swabbing for virological laboratory testing to an online cohort study. This pilot does not have significant numbers to validate whether Flusurvey surveillance accurately reflects influenza infection in the community, but highlights that the methodology is feasible. Self-swabbing could be expanded to larger online surveillance activities, such as during the initial stages of a pandemic, to understand community transmission or to better assess interseasonal activity.

Indexed as

AdultCohort StudiesFemaleHistory, 21st CenturyHumansInfluenza, HumanInternetMaleMiddle AgedPilot ProjectsPopulation SurveillanceUnited KingdomVirologycohort studyinfluenzainfluenza-like illnessonlinesurveillancevirological confirmation

Identifiers

PMID29496658
PMCPMC5856931

What OpenQuestion holds

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LicenceCC BY
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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.