Evidence map›Paper›PMID 31551070›Full record

ArticleBMC medicine2019

Combining serological and contact data to derive target immunity levels for achieving and maintaining measles elimination.

Sebastian Funk, Jennifer K Knapp, Emmaculate Lebo, Susan E Reef, Alya J Dabbagh, Katrina Kretsinger, Mark Jit, W John Edmunds, Peter M Strebel

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
10.2field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 90 citations in OpenAlex.

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  17. Emergence of the reproduction matrix in epidemic forecasting.Journal of the Royal Society, Interface · 2024
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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

9 authors at 5 institutions in 4 countries.

Sebastian FunkCentre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, Keppel Street, London, UK. sebastian.funk@lshtm.ac.uk.ORCID 0000-0002-2842-3406
Jennifer K KnappCenters for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA, USA.
Emmaculate LeboCenters for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA, USA.
Susan E ReefCenters for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA, USA.
Alya J DabbaghWorld Health Organization, Avenue Appia 20, Geneva, Switzerland.
Katrina KretsingerWorld Health Organization, Avenue Appia 20, Geneva, Switzerland.
Mark JitCentre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, Keppel Street, London, UK.
W John EdmundsCentre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, Keppel Street, London, UK.
Peter M StrebelGAVI Alliance, Chemin du Pommier 40, Le Grand-Saconnex, Switzerland.
Centers for Disease Control and Prevention · USLondon School of Hygiene & Tropical Medicine · GBWorld Health Organization · CHGavi · CHPublic Health England · GB

Funding

Medical Research Council MR/K021680/1Wellcome Trust 210758/Z/18/ZWorld Health Organization 001
6 · The paper itself

Abstract

backgroundVaccination has reduced the global incidence of measles to the lowest rates in history. However, local interruption of measles virus transmission requires sustained high levels of population immunity that can be challenging to achieve and maintain. The herd immunity threshold for measles is typically stipulated at 90-95%. This figure does not easily translate into age-specific immunity levels required to interrupt transmission. Previous estimates of such levels were based on speculative contact patterns based on historical data from high-income countries. The aim of this study was to determine age-specific immunity levels that would ensure elimination of measles when taking into account empirically observed contact patterns.

methodsWe combined estimated immunity levels from serological data in 17 countries with studies of age-specific mixing patterns to derive contact-adjusted immunity levels. We then compared these to case data from the 10 years following the seroprevalence studies to establish a contact-adjusted immunity threshold for elimination. We lastly combined a range of hypothetical immunity profiles with contact data from a wide range of socioeconomic and demographic settings to determine whether they would be sufficient for elimination.

resultsWe found that contact-adjusted immunity levels were able to predict whether countries would experience outbreaks in the decade following the serological studies in about 70% of countries. The corresponding threshold level of contact-adjusted immunity was found to be 93%, corresponding to an average basic reproduction number of approximately 14. Testing different scenarios of immunity with this threshold level using contact studies from around the world, we found that 95% immunity would have to be achieved by the age of five and maintained across older age groups to guarantee elimination. This reflects a greater level of immunity required in 5-9-year-olds than established previously.

conclusionsThe immunity levels we found necessary for measles elimination are higher than previous guidance. The importance of achieving high immunity levels in 5-9-year-olds presents both a challenge and an opportunity. While such high levels can be difficult to achieve, school entry provides an opportunity to ensure sufficient vaccination coverage. Combined with observations of contact patterns, further national and sub-national serological studies could serve to highlight key gaps in immunity that need to be filled in order to achieve national and regional measles elimination.

Indexed as

Immunity, HerdAdolescentAdultChildChild, PreschoolContact TracingDisease EradicationDisease OutbreaksFemaleGeographyHealth Services Needs and DemandHumansIncidenceInfantInfant, NewbornMaleMeasles VaccineContactsEliminationImmunisationMeaslesModellingSocial mixingThresholdVaccination

Identifiers

PMID31551070
PMCPMC6760101
OpenAlexW2976747066

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.