Evidence map›Paper›PMID 28413995›Full record

ArticleEpidemiology and infection2017

The burden of seasonal respiratory infections on a national telehealth service in England.

R A Morbey, S Harcourt, R Pebody, M Zambon, J Hutchison, J Rutter, H Thomas, G E Smith, A J Elliot

Abstract read
In one paragraph

Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Review
  12. Article
  13. Article
  14. Long-lasting cough in an adult German population: incidence, symptoms, and related pathogens.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    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

9 authors.

R A MorbeyReal-time Syndromic Surveillance Team,National Infection Service,Public Health England,Birmingham,UK.
S HarcourtReal-time Syndromic Surveillance Team,National Infection Service,Public Health England,Birmingham,UK.
R PebodyRespiratory Diseases Department,National Infection Service,Public Health England,London,UK.
M ZambonReference Microbiology Centre,National Infection Service,Public Health England,London,UK.
J HutchisonNHS England,Birmingham,UK.
J RutterNHS Digital,Leeds,UK.
H ThomasNHS 111,London,UK.
G E SmithReal-time Syndromic Surveillance Team,National Infection Service,Public Health England,Birmingham,UK.
A J ElliotReal-time Syndromic Surveillance Team,National Infection Service,Public Health England,Birmingham,UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seasonal respiratory illnesses present a major burden on primary care services. We assessed the burden of respiratory illness on a national telehealth system in England and investigated the potential for providing early warning of respiratory infection. We compared weekly laboratory reports for respiratory pathogens with telehealth calls (NHS 111) between week 40 in 2013 and week 29 in 2015. Multiple linear regression was used to identify which pathogens had a significant association with respiratory calls. Children aged <5 and 5-14 years, and adults over 65 years were modelled separately as were time lags of up to 4 weeks between calls and laboratory specimen dates. Associations with respiratory pathogens explained over 83% of the variation in cold/flu, cough and difficulty breathing calls. Based on the first two seasons available, the greatest burden was associated with respiratory syncytial virus (RSV) and influenza, with associations found in all age bands. The most sensitive signal for influenza was calls for 'cold/flu', whilst for RSV it was calls for cough. The best-fitting models showed calls increasing a week before laboratory specimen dates. Daily surveillance of these calls can provide early warning of seasonal rises in influenza and RSV, contributing to the national respiratory surveillance programme.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolEnglandHumansInfantInfant, NewbornInfluenza, HumanMiddle AgedRespiratory Syncytial Virus InfectionsRespiratory Tract InfectionsSeasonsTelemedicineEarly warningpublic healthrespiratorysyndromic surveillancetelehealth

Identifiers

PMID28413995
PMCPMC9203314

What OpenQuestion holds

Textmetadata
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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.