Evidence map›Paper›PMID 35177804›Full record

ArticleScientific reports2022

A COVID-19 vaccination model for Aotearoa New Zealand.

Nicholas Steyn, Michael J Plank, Rachelle N Binny, Shaun C Hendy, Audrey Lustig, Kannan Ridings

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
5.1field-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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  10. Modelling the impact of the Omicron BA.5 subvariant in New Zealand.Journal of the Royal Society, Interface · 2023
    Article
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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

6 authors at 3 institutions in 1 country.

Nicholas SteynTe Pūnaha Matatini: the Centre for Complex Systems and Networks, Auckland, New Zealand.
Michael J PlankTe Pūnaha Matatini: the Centre for Complex Systems and Networks, Auckland, New Zealand. michael.plank@canterbury.ac.nz.
Rachelle N BinnyTe Pūnaha Matatini: the Centre for Complex Systems and Networks, Auckland, New Zealand.
Shaun C HendyTe Pūnaha Matatini: the Centre for Complex Systems and Networks, Auckland, New Zealand.
Audrey LustigTe Pūnaha Matatini: the Centre for Complex Systems and Networks, Auckland, New Zealand.
Kannan RidingsTe Pūnaha Matatini: the Centre for Complex Systems and Networks, Auckland, New Zealand.
Te Pūnaha MatatiniUniversity of Auckland · NZUniversity of Canterbury · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We develop a mathematical model to estimate the effect of New Zealand's vaccine rollout on the potential spread and health impacts of COVID-19. The main purpose of this study is to provide a basis for policy advice on border restrictions and control measures in response to outbreaks that may occur during the vaccination roll-out. The model can be used to estimate the theoretical population immunity threshold, which represents a point in the vaccine rollout at which border restrictions and other controls could be removed and only small, occasional outbreaks would take place. We find that, with a basic reproduction number of 6, approximately representing the Delta variant of SARS-CoV-2, and under baseline vaccine effectiveness assumptions, reaching the population immunity threshold would require close to 100% of the total population to be vaccinated. Since this coverage is not likely to be achievable in practice, relaxing controls completely would risk serious health impacts. However, the higher vaccine coverage is, the more collective protection the population has against adverse health outcomes from COVID-19, and the easier it will become to control outbreaks. There remains considerable uncertainty in model outputs, in part because of the potential for the evolution of new variants. If new variants arise that are more transmissible or vaccine resistant, an increase in vaccine coverage will be needed to provide the same level of protection.

Indexed as

COVID-19 VaccinesModels, TheoreticalQuarantineVaccinationCOVID-19Disease OutbreaksHumansNew ZealandCOVID-19 Vaccines

Identifiers

PMID35177804
PMCPMC8854696
OpenAlexW4213081667

What Socratic 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 Socratic graph.