Evidence map›Paper›PMID 29562334›Full record

ArticleThe Journal of infectious diseases2018

Benefits and Challenges in Using Seroprevalence Data to Inform Models for Measles and Rubella Elimination.

Amy K Winter, Micaela E Martinez, Felicity T Cutts, William J Moss, Matt J Ferrari, Amalie McKee, Justin Lessler, Kyla Hayford, Jacco Wallinga, C Jess E Metcalf

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 54 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 5 pooled it
5.3field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 5 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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  5. Key questions for modelling COVID-19 exit strategies.Proceedings. Biological sciences · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 3 countries.

Amy K WinterDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey.
Micaela E MartinezDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Felicity T CuttsLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
William J MossDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Matt J FerrariCenter for Infectious Disease Dynamics, The Pennsylvania State University, State College, Pennsylvania.
Amalie McKeeCenter for Infectious Disease Dynamics, The Pennsylvania State University, State College, Pennsylvania.
Justin LesslerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Kyla HayfordInternational Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Jacco WallingaNetherlands National Institute for Public Health and the Environment, Bilthoven, Netherlands.
C Jess E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey.
Johns Hopkins University · USPennsylvania State University · USPrinceton University · USColumbia University · USLondon School of Hygiene & Tropical Medicine · GBNational Institute for Public Health and the Environment · NL

Funding

Scientific and Technical Computing CoreP2CHD047879 · NICHD · PRINCETON UNIVERSITY · PI SALGANIK, MATTHEW J. · 2014 to 2018
$2.0M
HACKING EPIDEMICS: UNLOCKING THE DRIVERS OF TRANSMISSION SEASONALITYTO BATTLE VACCINE-PREVENTABLE DISEASESDP5OD023100 · OD · PRINCETON UNIVERSITY · PI MARTINEZ, MICAELA ELVIRA · 2016 to 2020
$1.8M
NICHD NIH HHS P2C HD047879NIH HHS DP5 OD023100
6 · The paper itself

Abstract

Background: Control efforts for measles and rubella are intensifying globally. It becomes increasingly important to identify and reach remaining susceptible populations as elimination is approached. Methods: Serological surveys for measles and rubella can potentially measure susceptibility directly, but their use remains rare. In this study, using simulations, we outline key subtleties in interpretation associated with the dynamic context of age-specific immunity, highlighting how the patterns of immunity predicted from disease surveillance and vaccination coverage data may be misleading. Results: High-quality representative serosurveys could provide a more accurate assessment of immunity if challenges of conducting, analyzing, and interpreting them are overcome. We frame the core disease control and elimination questions that could be addressed by improved serological tools, discussing challenges and suggesting approaches to increase the feasibility and sustainability of the tool. Conclusions: Accounting for the dynamical context, serosurveys could play a key role in efforts to achieve and sustain elimination.

Indexed as

AdolescentAdultAgedAged, 80 and overAntibodies, ViralChildChild, PreschoolComputer SimulationDisease EradicationDisease Transmission, InfectiousEpidemiological MonitoringFemaleHumansInfantInfection ControlMaleAntibodies, Viral

Identifiers

PMID29562334
PMCPMC6049004
OpenAlexW2791670243

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.