Evidence map›Paper›PMID 19402974›Full record

ArticleEmerging infectious diseases2009

Real-time surveillance for respiratory disease outbreaks, Ontario, Canada.

Adam van-Dijk, Jeff Aramini, Graham Edge, Kieran M Moore

Abstract readEvaluation Study
In one paragraph

Article in Emerging infectious diseases, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Impact of the 2023 wildfire smoke episodes in Ontario, Canada, on asthma and other health outcomes: an interrupted time-series analysis.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Global change, parasite transmission and disease control: lessons from ecology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  8. Article
  9. Article
  10. Article
  11. [Construction of early warning model of influenza-like illness in Zhejiang Province based on support vector machine].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2015
    Article
  12. Article
  13. Article
  14. Article
  15. Google Flu Trends: correlation with emergency department influenza rates and crowding metrics.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2012
    Article
  16. Article
  17. 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

4 authors.

Adam van-DijkQueen's University, Kingston, Ontario, Canada. avandijk@kfl apublichealth.ca
Jeff Aramini
Graham Edge
Kieran M Moore

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To validate the utility of a chief complaint-based emergency department surveillance system, we compared it with respiratory diagnostic data and calls to Telehealth Ontario about respiratory disease. This local syndromic surveillance system accurately monitored status of respiratory diseases in the community and contributed to early detection of respiratory disease outbreaks.

Indexed as

Disease OutbreaksCommunity-Acquired InfectionsEmergency Service, HospitalHumansInfluenza, HumanOntarioPopulation SurveillancePrevalenceRespiration DisordersSyndrome

Identifiers

PMID19402974
PMCPMC2687041

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.