Evidence map›Paper›PMID 35193893›Full record

ArticleBMJ global health2022

Non-pharmaceutical interventions and COVID-19 vaccination strategies in Senegal: a modelling study.

Maryam Diarra, Amira Kebir, Cheikh Talla, Aliou Barry, Joseph Faye, Dorra Louati, Lulla Opatowski, Mamadou Diop, REPAIR consortium, Lisa J White and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
3.4field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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

12 authors at 4 institutions in 4 countries.

Maryam DiarraEpidemiology, Clinical Recherche and Data Science, Institut Pasteur de Dakar, Dakar, Senegal maryam.diarra@pasteur.sn.ORCID 0000-0001-9110-4435
Amira KebirBio-Informatics, Mathematics, Statistics, Institut Pasteur de Tunis, Tunis, Tunisia.
Cheikh TallaEpidemiology, Clinical Recherche and Data Science, Institut Pasteur de Dakar, Dakar, Senegal.
Aliou BarryEpidemiology, Clinical Recherche and Data Science, Institut Pasteur de Dakar, Dakar, Senegal.
Joseph FayeEpidemiology, Clinical Recherche and Data Science, Institut Pasteur de Dakar, Dakar, Senegal.
Dorra LouatiBio-Informatics, Mathematics, Statistics, Institut Pasteur de Tunis, Tunis, Tunisia.
Lulla OpatowskiEpidemiology and Modelling of Antibiotic Evasion Unit, Institut Pasteur, Paris, France.
Mamadou DiopEpidemiology, Clinical Recherche and Data Science, Institut Pasteur de Dakar, Dakar, Senegal.
REPAIR consortium
Lisa J WhiteNuffield Department of Medicine, University of Oxford, Oxford, UK.
Cheikh LoucoubarEpidemiology, Clinical Recherche and Data Science, Institut Pasteur de Dakar, Dakar, Senegal.
Slimane Ben MiledBio-Informatics, Mathematics, Statistics, Institut Pasteur de Tunis, Tunis, Tunisia.
Institut Pasteur de Dakar · SNInstitut Pasteur de Tunis · TNInstitut Pasteur · FRUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhen vaccines against the novel COVID-19 were available in Senegal, many questions were raised. How long should non-pharmaceutical interventions (NPIs) be maintained during vaccination roll-out? What are the best vaccination strategies?

methodsIn this study, we used an age-structured dynamic mathematical model. This model uses parameters based on SARS-CoV-2 virus, information on different types of NPIs, epidemiological and demographic data, some parameters relating to hospitalisations and vaccination in Senegal.

resultsIn all scenarios explored, the model predicts a larger third epidemic wave of COVID-19 in terms of new cases and deaths than the previous waves. In a context of limited vaccine supply, vaccination alone will not be sufficient to control the epidemic, and the continuation of NPIs is necessary to flatten the epidemic curve. Assuming 20% of the population have been vaccinated, the optimal period to relax NPIs would be a few days from the last peak. Regarding the prioritisation of age groups to be vaccinated, the model shows that it is better to vaccinate individuals aged 5-60 years and not just the elderly (over 60 years) and those in high-risk groups. This strategy could be more cost-effective for the government, as it would reduce the high costs associated with hospitalisation. In terms of vaccine distribution, the optimal strategy would be to allocate full dose to the elderly. If vaccine doses are limited, half dose followed by full dose would be sufficient for people under 40 years because whether they receive half or full dose, the reduction in hospitalisations would be similar and their death-to-case ratio is very low.

conclusionsThis study could be presented as a decision support tool to help devise strategies to control the COVID-19 pandemic and help the Ministry of Health to better manage and allocate the available vaccine doses.

Indexed as

COVID-19COVID-19 VaccinesAdolescentAdultAgedChildChild, PreschoolHumansMiddle AgedPandemicsSARS-CoV-2SenegalVaccinationYoung AdultCOVID-19 Vaccinescontrol strategiesCOVID-19mathematical modellingprevention strategiesvaccines

Identifiers

PMID35193893
PMCPMC8882665
OpenAlexW4212942972

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.