Evidence map›Paper›PMID 32359782›Full record

ArticleTrends in microbiology2020

Using Serology to Anticipate Measles Post-honeymoon Period Outbreaks.

C J E Metcalf, A Wesolowski, A K Winter, J Lessler, S Cauchemez, W J Moss, A R McLean, B T Grenfell

Abstract read
In one paragraph

Article in Trends in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

8 authors.

C J E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA. Electronic address: cmetcalf@princeton.edu.
A WesolowskiJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
A K WinterJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
J LesslerJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
S CauchemezInstitut Pasteur, Paris, France.
W J MossJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
A R McLeanDepartment of Zoology, Oxford University, Oxford, UK.
B T GrenfellDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measles vaccination is a public health 'best buy', with the highest cost of illness averted of any vaccine-preventable disease (Ozawa et al., Bull. WHO 2017;95:629). In recent decades, substantial reductions have been made in the number of measles cases, with an estimated 20 million deaths averted from 2000 to 2017 (Dabbagh et al., MMWR 2018;67:1323). Yet, an important feature of epidemic dynamics is that large outbreaks can occur following years of apparently successful control (Mclean et al., Epidemiol. Infect. 1988;100:419-442). Such 'post-honeymoon period' outbreaks are a result of the nonlinear dynamics of epidemics (Mclean et al., Epidemiol. Infect. 1988;100:419-442). Anticipating post-honeymoon outbreaks could lead to substantial gains in public health, helping to guide the timing, age-range, and location of catch-up vaccination campaigns (Grais et al., J. Roy. Soc. Interface 2008003B6:67-74). Theoretical conditions for such outbreaks are well understood for measles, yet the information required to make these calculations policy-relevant is largely lacking. We propose that a major extension of serological studies to directly characterize measles susceptibility is a high priority.

Indexed as

Antibodies, ViralDisease OutbreaksDisease SusceptibilityHumansMass VaccinationMeaslesMeasles VaccinePublic HealthSerologic TestsAntibodies, ViralMeasles Vaccine

Identifiers

PMID32359782
PMCPMC7167541

What OpenQuestion holds

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Registered trials

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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.