Evidence map›Paper›PMID 22110586›Full record

ArticlePloS one2011

Seroprevalence of pandemic influenza H1N1 in Ontario from January 2009-May 2010.

Camille Achonu, Laura Rosella, Jonathan B Gubbay, Shelley Deeks, Anu Rebbapragada, Tony Mazzulli, Don Willison, Julie Foisy, Allison McGeer, Ian Johnson and 5 more

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

15 authors.

Camille AchonuDepartment of Surveillance and Epidemiology, Public Health Ontario, Toronto, Ontario, Canada.
Laura Rosella
Jonathan B Gubbay
Shelley Deeks
Anu Rebbapragada
Tony Mazzulli
Don Willison
Julie Foisy
Allison McGeer
Ian Johnson
Marie LaFreniere
Caitlin Johnson
Jacqueline Willmore
Carmen Yue
Natasha S Crowcroft

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe designed a seroprevalence study using multiple testing assays and population sources to estimate the community seroprevalence of pH1N1/09 and risk factors for infection before the outbreak was recognized and throughout the pandemic to the end of 2009/10 influenza season.

methodsResidual serum specimens from five time points (between 01/2009 and 05/2010) and samples from two time points from a prospectively recruited cohort were included. The distribution of risk factors was explored in multivariate adjusted analyses using logistic regression among the cohort. Antibody levels were measured by hemagglutination inhibition (HAI) and microneutralization (MN) assays.

resultsResidual sera from 3375 patients and 1024 prospectively recruited cohort participants were analyzed. Pre-pandemic seroprevalence ranged from 2%-12% across age groups. Overall seropositivity ranged from 10%-19% post-first wave and 32%-41% by the end of the 2009/10 influenza season. Seroprevalence and risk factors differed between MN and HAI assays, particularly in older age groups and between waves. Following the H1N1 vaccination program, higher GMT were noted among vaccinated individuals. Overall, 20-30% of the population was estimated to be infected.

conclusionsCombining population sources of sera across five time points with prospectively collected epidemiological information yielded a complete description of the evolution of pH1N1 infection.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionCohort StudiesFemaleHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanMaleMiddle AgedOntarioPandemicsRisk FactorsSeasons

Identifiers

PMID22110586
PMCPMC3215698

What OpenQuestion holds

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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.