Evidence map›Paper›PMID 34278284›Full record

ArticleEClinicalMedicine2021

A modelling study investigating short and medium-term challenges for COVID-19 vaccination: From prioritisation to the relaxation of measures.

Cécile Tran Kiem, Clément R Massonnaud, Daniel Levy-Bruhl, Chiara Poletto, Vittoria Colizza, Paolo Bosetti, Arnaud Fontanet, Amélie Gabet, Valérie Olié, Laura Zanetti and 3 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
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  13. Covid-19, an unfinished story.Presse medicale (Paris, France : 1983) · 2022
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  17. Epidemic models: why and how to use them.Anaesthesia, critical care & pain medicine · 2022
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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

13 authors at 5 institutions in 1 country.

Cécile Tran KiemMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, 25-28 rue du Dr Roux, 75015 Paris, France.
Clément R MassonnaudUniv Rennes, EHESP, REPERES « Recherche en Pharmaco-Epidémiologie et Recours aux Soins », EA 7449 Rennes, France.
Daniel Levy-BruhlSanté Publique France, Saint Maurice, France.
Chiara PolettoINSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.
Vittoria ColizzaINSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.
Paolo BosettiMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, 25-28 rue du Dr Roux, 75015 Paris, France.
Arnaud FontanetEmerging Diseases Epidemiology Unit, Institut Pasteur, Paris, France.
Amélie GabetSanté Publique France, Saint Maurice, France.
Valérie OliéSanté Publique France, Saint Maurice, France.
Laura ZanettiHaute Autorité de Santé, Saint-Denis La plaine Stade de France, France.
Pierre-Yves BoëlleINSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.
Pascal CrépeyUniv Rennes, EHESP, REPERES « Recherche en Pharmaco-Epidémiologie et Recours aux Soins », EA 7449 Rennes, France.
Simon CauchemezMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, 25-28 rue du Dr Roux, 75015 Paris, France.
Santé Publique France · FRCentre National de la Recherche Scientifique · FRInserm · FRÉcole des Hautes Études en Santé Publique · FRConservatoire National des Arts et Métiers · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe roll-out of COVID-19 vaccines is a multi-faceted challenge whose performance depends on pace of vaccination, vaccine characteristics and heterogeneities in individual risks.

methodsWe developed a mathematical model accounting for the risk of severe disease by age and comorbidity, and transmission dynamics. We compared vaccine prioritisation strategies in the early roll-out stage and quantified the extent to which measures could be relaxed as a function of the vaccine coverage achieved in France.

findingsPrioritizing at-risk individuals reduces morbi-mortality the most if vaccines only reduce severity, but is of less importance if vaccines also substantially reduce infectivity or susceptibility. Age is the most important factor to consider for prioritization; additionally accounting for comorbidities increases the performance of the campaign in a context of scarce resources. Vaccinating 90% of ≥65 y.o. and 70% of 18-64 y.o. before autumn 2021 with a vaccine that reduces severity by 90% and susceptibility by 80%, we find that control measures reducing transmission rates by 15-27% should be maintained to remain below 1000 daily hospital admissions in France with a highly transmissible variant (basic reproduction number

interpretationAge and comorbidity-based vaccine prioritization strategies could reduce the burden of the disease. Very high vaccination coverage may be required to completely relax control measures. Vaccination of children, if possible, could lower coverage targets necessary to achieve this objective.

Indexed as

ComorbiditiesCOVID-19PrioritisationRelaxation of measuresSARS-CoV-2Vaccination

Identifiers

PMID34278284
PMCPMC8278244
OpenAlexW3178312604

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.