Evidence map›Paper›PMID 36406383›Full record

ArticleThe Lancet regional health. Western Pacific2023

Modelling the end of a Zero-COVID strategy using nirmatrelvir/ritonavir, vaccination and NPIs in Wallis and Futuna.

Antoine Brault, Cécile Tran-Kiem, Clément Couteaux, Valérie Olié, Juliette Paireau, Yazdan Yazdanpanah, Jade Ghosn, Guillaume Martin-Blondel, Paolo Bosetti, Simon Cauchemez

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

10 authors at 3 institutions in 1 country.

Antoine BraultMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, Paris, France.
Cécile Tran-KiemMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, Paris, France.
Clément CouteauxAgence de Santé de Wallis et Futuna, France.
Valérie OliéSanté publique France, France.
Juliette PaireauMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, Paris, France.
Yazdan YazdanpanahInfections Antimicrobials Modelling Evolution (IAME), INSERM UMR 1137, Université Paris Cité, Paris, France.
Jade GhosnInfections Antimicrobials Modelling Evolution (IAME), INSERM UMR 1137, Université Paris Cité, Paris, France.
Guillaume Martin-BlondelService des Maladies Infectieuses et Tropicales, CHU de Toulouse, Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity), INSERM UMR 1291 - CNRS UMR 5051 - Université Toulouse III, France.
Paolo BosettiMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, Paris, France.
Simon CauchemezMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, Paris, France.
Centre National de la Recherche Scientifique · FRInserm · FRSanté Publique France · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ending Zero-COVID is challenging, particularly when vaccine coverage is low. Considering Wallis and Futuna, a French Zero-COVID territory affected by reluctance to vaccination, low immunity and high levels of comorbidities, we investigate how targeted use of nirmatrelvir/ritonavir (brand name Paxlovid) can complement vaccination and non-pharmaceutical interventions (NPIs), and mitigate the epidemic rebound expected when Zero-COVID ends. Methods: We developed a discrete age-stratified compartmental model describing SARS-CoV-2 spread and healthcare impact once Wallis and Futuna reopens. It accounts for comorbidity risk groups (CRG), vaccine coverage (2 doses, 3 doses), the effectiveness of vaccines (recent or old injection), treatments and NPIs. In our baseline scenario, cases aged 65+ in intermediate/high CRG and 40+ in high CRG are eligible for treatment. Findings: The epidemic is expected to start 13-20 days after reopening with a doubling time of 1.6-3.7 days. For medium transmission intensity (R Interpretation: Modelling suggests that test and treat may contribute to the mitigation of epidemic rebounds at the end of Zero-COVID, particularly in populations with low immunity and high levels of comorbidities. Funding: RECOVER, VEO, AXA, Groupama, SpF, IBEID, INCEPTION, EMERGEN.

Indexed as

AntiviralCOVID-19Nirmatrelvir/ritonavirNPIsPaxlovidSARS-CoV-2TreatmentVaccineZero-COVID

Identifiers

PMID36406383
PMCPMC9672948
OpenAlexW4302760216

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.