Evidence map›Paper›PMID 37957160›Full record

ArticleNature communications2023

Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia.

Lloyd A C Chapman, Maite Aubry, Noémie Maset, Timothy W Russell, Edward S Knock, John A Lees, Henri-Pierre Mallet, Van-Mai Cao-Lormeau, Adam J Kucharski

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 5 institutions in 3 countries.

Lloyd A C ChapmanCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK. l.chapman4@lancaster.ac.uk.ORCID 0000-0001-7727-7102
Maite AubryLaboratoire de recherche sur les infections virales émergentes, Institut Louis Malardé, Tahiti, French Polynesia.
Noémie MasetCellule Epi-surveillance Plateforme COVID-19, Tahiti, French Polynesia.
Timothy W RussellCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0001-5610-6080
Edward S KnockMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID 0000-0003-1135-9652
John A LeesMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID 0000-0001-5360-1254
Henri-Pierre MalletCellule Epi-surveillance Plateforme COVID-19, Tahiti, French Polynesia.
Van-Mai Cao-LormeauLaboratoire de recherche sur les infections virales émergentes, Institut Louis Malardé, Tahiti, French Polynesia.ORCID 0000-0001-5606-7480
Adam J KucharskiCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GBInstitut Louis Malardé · PFUniversity of French Polynesia · PFEuropean Bioinformatics Institute · GBImperial College London · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Estimating the impact of vaccination and non-pharmaceutical interventions on COVID-19 incidence is complicated by several factors, including successive emergence of SARS-CoV-2 variants of concern and changing population immunity from vaccination and infection. We develop an age-structured multi-strain COVID-19 transmission model and inference framework to estimate vaccination and non-pharmaceutical intervention impact accounting for these factors. We apply this framework to COVID-19 waves in French Polynesia and estimate that the vaccination programme averted 34.8% (95% credible interval: 34.5-35.2%) of 223,000 symptomatic cases, 49.6% (48.7-50.5%) of 5830 hospitalisations and 64.2% (63.1-65.3%) of 1540 hospital deaths that would have occurred in a scenario without vaccination up to May 2022. We estimate the booster campaign contributed 4.5%, 1.9%, and 0.4% to overall reductions in cases, hospitalisations, and deaths. Our results suggest that removing lockdowns during the first two waves would have had non-linear effects on incidence by altering accumulation of population immunity. Our estimates of vaccination and booster impact differ from those for other countries due to differences in age structure, previous exposure levels and timing of variant introduction relative to vaccination, emphasising the importance of detailed analysis that accounts for these factors.

Indexed as

COVID-19Communicable Disease ControlHumansPolynesiaSARS-CoV-2Vaccination

Identifiers

PMID37957160
PMCPMC10643399
OpenAlexW4388631322

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.