Evidence map›Paper›PMID 34849482›Full record

ArticleVaccine: X2021

Examination of scenarios introducing rubella vaccine in the Democratic Republic of the Congo.

Alvan Cheng, Kurt Frey, Guillaume Ngoie Mwamba, Kevin A McCarthy, Nicole A Hoff, Anne W Rimoin

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Vaccine: X, 2021. 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Alvan ChengDepartment of Epidemiology, University of California, Los Angeles, CA, USA.
Kurt FreyInstitute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, WA, USA.
Guillaume Ngoie MwambaVillageReach, Ngaliema, Kinshasa, The Democratic Republic of the Congo.
Kevin A McCarthyInstitute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, WA, USA.
Nicole A HoffDepartment of Epidemiology, University of California, Los Angeles, CA, USA.
Anne W RimoinDepartment of Epidemiology, University of California, Los Angeles, CA, USA.
University of California, Los Angeles · USGates Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRubella vaccine has yet to be introduced into the national immunization schedule of the Democratic Republic of the Congo (DRC); the current burden of congenital rubella syndrome (CRS) is unknown and likely to be high. An important consideration prior to introducing rubella containing vaccine (RCV) is the potential inverse relationship between RCV coverage and CRS incidence. Increasing RCV coverage will also increase in the average age of infection. Cumulative infections across all age groups will decrease, but the number of infections in age groups vulnerable to CRS may increase.

methodsRubella transmission dynamics in the DRC were simulated using a stochastic agent-based model of transmission. Input parameter values for known properties, demographic variables, and interventions were fixed; infectivity was inferred from seropositivity profiles in survey data.

resultsOur simulations of RCV introduction for the DRC demonstrate that an increase in CRS burden is unlikely. Continued endemic transmission is only plausible when routine immunization coverage is less than 40% and follow-up supplemental immunization activities have poor coverage for decades.

conclusionIncreased vaccination coverage tends to increase the annual variability of CRS burden. Simulations examining

Indexed as

Agent-based modelCongenital rubella syndromeRubellaVaccine introduction

Identifiers

PMID34849482
PMCPMC8608602
OpenAlexW3212012010

What OpenQuestion holds

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LicenceCC BY
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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.