Evidence map›Paper›PMID 29460729›Full record

ArticleEmerging infectious diseases2018

Use of Genome Sequencing to Define Institutional Influenza Outbreaks, Toronto, Ontario, Canada, 2014-15.

Derek R MacFadden, Allison McGeer, Taryn Athey, Stephen Perusini, Romy Olsha, Aimin Li, AliReza Eshaghi, Jonathan B Gubbay, William P Hanage

Abstract readHistorical Article
In one paragraph

Article in Emerging infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. SARS-CoV-2 genomics and impact on clinical care for COVID-19.The Journal of antimicrobial chemotherapy · 2023
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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.

Derek R MacFadden
Allison McGeer
Taryn Athey
Stephen Perusini
Romy Olsha
Aimin Li
AliReza Eshaghi
Jonathan B Gubbay
William P Hanage

Funding

CIHR
6 · The paper itself

Abstract

Adequacy of the current clinical definition of institutional influenza outbreaks is unclear. We performed a retrospective genome sequencing and epidemiologic analysis of institutional influenza outbreaks that occurred during the 2014-15 influenza season in Toronto, Canada. We sequenced the 2 earliest submitted samples positive for influenza A(H3N2) from each of 38 reported institutional outbreaks in long-term care facilities. Genome sequencing showed most outbreak pairs identified by using the current clinical definition were highly related. Inclusion of surveillance samples demonstrated that outbreak sources were likely introductions from broader circulating lineages. Pairwise distance analysis using majority genome and hemagglutinin-specific genes enabled identification of thresholds for discrimination of within and between outbreak pairs; the area under the curve ranged 0.93-0.95. Routine genome sequencing for defining influenza outbreaks in long-term care facilities is unlikely to add significantly to the current clinical definition. Sequencing may prove most useful for investigating sources of outbreak introductions.

Indexed as

Genome, ViralGenomicsDisease OutbreaksHigh-Throughput Nucleotide SequencingHistory, 21st CenturyHumansInfluenza A virusInfluenza, HumanOntarioPhylogenyPublic Health SurveillanceRetrospective StudiesROC CurveSeasonsgenomic epidemiologyhospitalinfluenzainstitutional outbreaklong-term careoutbreakspublic healthrespiratory infectionswhole-genome sequencing

Identifiers

PMID29460729
PMCPMC5823344

What OpenQuestion holds

Textmetadata
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.