Evidence map›Paper›PMID 29942818›Full record

ArticleOpen forum infectious diseases2018

On the Role of Different Age Groups and Pertussis Vaccines During the 2012 Outbreak in Wisconsin.

Edward Goldstein, Colin J Worby, Marc Lipsitch

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

3 authors.

Edward GoldsteinCenter for Communicable Disease Dynamics, Department of Epidemiology, Boston, Massachusetts.
Colin J WorbyCenter for Communicable Disease Dynamics, Department of Epidemiology, Boston, Massachusetts.
Marc LipsitchCenter for Communicable Disease Dynamics, Department of Epidemiology, Boston, Massachusetts.

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

backgroundThere is limited information on the roles of different age groups in propagating pertussis outbreaks, and on the impact of vaccination on pertussis transmission in the community.

methodsThe relative roles of different age groups in propagating the 2012 pertussis outbreak in Wisconsin were evaluated using the relative risk (RR) statistic that measures the change in the group's proportion among all detected cases before vs after the epidemic peak. The impact of vaccination in different age groups against infection (that is potentially different from the protective effect against detectable disease) was evaluated using the odds ratios (ORs), within each age group, for being vaccinated vs undervaccinated before vs after the outbreak's peak.

resultsThe RR statistic suggests that children aged 13-14 years played the largest relative role during the outbreak's ascent (with estimates consistent across the 3 regions in Wisconsin that were studied), followed by children aged 7-8, 9-10, and 11-12 years. Young children and older teenagers and adults played more limited relative roles during the outbreak. Results of the vaccination status analysis for the fifth dose of DTaP (for children aged 7-8 years: OR, 0.44; 95% confidence interval [CI], 0.23-0.86; for children aged 9-10 years: OR, 0.51; 95% CI, 0.27-0.95); and for Tdap for children aged 13-14 years (OR, 0.38, 95% CI, 0.16-0.89) are consistent with protective effect against infection.

conclusionsWhile our epidemiological findings for the fifth dose of DTaP and for Tdap are consistent with protective effect against infection, further studies, including those estimating vaccine effectiveness against infection/transmission to others particularly for pertussis vaccines for adolescents, are needed to evaluate the impact of vaccination on the spread of pertussis in the community.

Indexed as

age groupsDTaPpertussisTdap

Identifiers

PMID29942818
PMCPMC5961225

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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.