Evidence map›Paper›PMID 22984820›Full record

ArticleInfluenza and other respiratory viruses2013

Estimating influenza incidence and rates of influenza-like illness in the outpatient setting.

Ashley Fowlkes, Sharoda Dasgupta, Edward Chao, Jennifer Lemmings, Kate Goodin, Meghan Harris, Karen Martin, Michelle Feist, Winfred Wu, Rachelle Boulton and 3 more

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Using Twitter to Track Unplanned School Closures: Georgia Public Schools, 2015-17.Disaster medicine and public health preparedness · 2021
    Article
  13. Article
  14. Article
  15. Estimation of influenza-attributable burden in primary care from season 2014/2015 to 2018/2019, France.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. FluSense: A Contactless Syndromic Surveillance Platform for Influenza-Like Illness in Hospital Waiting Areas.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2020
    Article
  20. 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

13 authors.

Ashley FowlkesInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA. afowlkes@cdc.gov
Sharoda Dasgupta
Edward Chao
Jennifer Lemmings
Kate Goodin
Meghan Harris
Karen Martin
Michelle Feist
Winfred Wu
Rachelle Boulton
Jonathan Temte
Lynnette Brammer
Lyn Finelli

Funding

Intramural CDC HHS CC999999NCHM CDC HHS 5U38HM000414-04
6 · The paper itself

Abstract

backgroundEstimating influenza incidence in outpatient settings is challenging. We used outpatient healthcare practice populations as a proxy to estimate community incidence of influenza-like illness (ILI) and laboratory-confirmed influenza-associated ILI.

methodsFrom October 2009 to July 2010, 38 outpatient practices in seven jurisdictions conducted surveillance for ILI (fever with cough or sore throat for patients ≥ 2 years; fever with ≥ 1 respiratory symptom for patients <2 years). From a sample of patients with ILI, respiratory specimens were tested for influenza.

resultsDuring the week of peak influenza activity (October 24, 2009), 13% of outpatient visits were for ILI and influenza was detected in 72% of specimens. For the 10-month surveillance period, ILI and influenza-associated ILI incidence were 20.0 (95% CI: 19.7, 20.4) and 8.7/1000 (95% CI: 8.2, 9.2) persons, respectively. Influenza-associated ILI incidence was highest among children aged 2-17 years. Observed trends were highly correlated with national ILI and virologic surveillance.

conclusionsThis is the first multistate surveillance system demonstrating the feasibility of using outpatient practices to estimate the incidence of medically attended influenza at the community level. Surveillance demonstrated the substantial burden of pandemic influenza in outpatient settings and especially in children aged 2-17 years. Observed trends were consistent with established syndromic and virologic systems.

Indexed as

AdolescentAdultAgedAge DistributionChildChild, PreschoolFemaleHumansIncidenceInfantInfluenza A Virus, H1N1 SubtypeInfluenza, HumanMaleMiddle AgedOutpatientsPopulation SurveillanceEpidemiologyH1N1influenzapandemic

Identifiers

PMID22984820
PMCPMC5781202

What OpenQuestion holds

Textmetadata
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.