Evidence map›Paper›PMID 29395520›Full record

ArticleVaccine2018

Core pertussis transmission groups in England and Wales: A tale of two eras.

Ana I Bento, Maria A Riolo, Yoon H Choi, Aaron A King, Pejman Rohani

Abstract read
In one paragraph

Article in Vaccine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 29% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Pathogens and global health · 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

5 authors at 3 institutions in 2 countries.

Ana I BentoOdum School of Ecology, University of Georgia, Athens, GA, USA; Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA. Electronic address: anabento@uga.edu.
Maria A RioloCenter for the Study of Complex Systems, University of Michigan, Ann Arbor, MI, USA.
Yoon H ChoiImmunisation, Hepatitis and Blood Safety Department, National Infection Service, Public Health England, London, UK.
Aaron A KingCenter for the Study of Complex Systems, University of Michigan, Ann Arbor, MI, USA; Department of Ecology & Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.
Pejman RohaniOdum School of Ecology, University of Georgia, Athens, GA, USA; Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA; Department of Infectious Diseases, University of Georgia, Athens, GA, USA.
University of Georgia · USUniversity of Michigan–Ann Arbor · USPublic Health England · GB

Funding

Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2014 to 2018
$12.5M
Integrating immunology, epidemiology, and evolution to understand and control perR01AI101155 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KING, AARON A., ROHANI, PEJMAN · 2012 to 2016
$1.7M
NIAID NIH HHS R01 AI101155NIGMS NIH HHS U54 GM111274
6 · The paper itself

Abstract

The recent resurgence of pertussis in England and Wales has been marked by infant deaths and rising cases in teens and adults. To understand which age cohorts are most responsible for these trends, we employed three separate statistical methods to analyze high-resolution pertussis reports from 1982 to 2012. The fine-grained nature of the time-series allowed us to describe the changes in age-specific incidence and contrast the transmission dynamics in the 1980s and during the resurgence era. Our results identified infants and school children younger than 10 years of age as a core group, prior to 2002: pertussis incidence in these populations was predictive of incidence in other age groups. After 2002, no core groups were identifiable. This conclusion is independent of methodology used. Because it is unlikely that the underlying contact patterns substantially changed over the study period, changes in predictability likely result from the introduction of more stringent diagnostics tests that may have inadvertently played a role in masking the relative contributions of core transmission groups.

Indexed as

ChildChild, PreschoolDisease OutbreaksEnglandHumansImmunizationImmunization ScheduleInfantPertussis VaccineWalesWhooping CoughPertussis VaccineAge-stratified incidenceDynamical signatureEntropyRelative risks transmissionTime-series dataWhooping cough

Identifiers

PMID29395520
PMCPMC5806206
OpenAlexW2787899261

What OpenQuestion holds

Textmetadata
LicenceTDM
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.