Evidence map›Paper›PMID 37644838›Full record

ArticleProceedings. Biological sciences2023

COVID-19 vaccine coverage targets to inform reopening plans in a low incidence setting.

Eamon Conway, Camelia R Walker, Christopher Baker, Michael J Lydeamore, Gerard E Ryan, Trish Campbell, Joel C Miller, Nic Rebuli, Max Yeung, Greg Kabashima and 7 more

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
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  4. Review
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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

17 authors.

Eamon ConwayPopulation Health and Immunity Division, WEHI, Parkville 3052, Vic, Australia.
Camelia R WalkerSchool of Mathematics and Statistics, The University of Melbourne, Melbourne, Victoria, Australia.
Christopher BakerSchool of Mathematics and Statistics, The University of Melbourne, Melbourne, Victoria, Australia.
Michael J LydeamoreDepartment of Econometrics and Business Statistics, Monash University, Clayton, Victoria, Australia.
Gerard E RyanCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0003-0183-7630
Trish CampbellCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Joel C MillerDepartment of Mathematics and Statistics, La Trobe University, Melbourne, Victoria, Australia.
Nic RebuliSchool of Population Health, The University of New South Wales, Sydney, New South Wales, Australia.
Max YeungQuantium, Sydney, New South Wales, Australia.
Greg KabashimaQuantium, Sydney, New South Wales, Australia.
Nicholas GeardSchool of Computing and Information Systems, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0003-0069-2281
James WoodSchool of Population Health, The University of New South Wales, Sydney, New South Wales, Australia.
James M McCawSchool of Mathematics and Statistics, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-2452-3098
Jodie McVernonVictorian Infectious Diseases Reference Laboratory Epidemiology Unit at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Victoria, Australia.
Nick GoldingInfectious Disease Ecology and Modelling, Telethon Kids Institute, Perth, Western Australia, Australia.
David J PriceCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0003-0076-3123
Freya M ShearerCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0001-9600-3473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the emergence of SARS-CoV-2 in 2019 through to mid-2021, much of the Australian population lived in a COVID-19-free environment. This followed the broadly successful implementation of a strong suppression strategy, including international border closures. With the availability of COVID-19 vaccines in early 2021, the national government sought to transition from a state of minimal incidence and strong suppression activities to one of high vaccine coverage and reduced restrictions but with still-manageable transmission. This transition is articulated in the national 're-opening' plan released in July 2021. Here, we report on the dynamic modelling study that directly informed policies within the national re-opening plan including the identification of priority age groups for vaccination, target vaccine coverage thresholds and the anticipated requirements for continued public health measures-assuming circulation of the Delta SARS-CoV-2 variant. Our findings demonstrated that adult vaccine coverage needed to be at least 60% to minimize public health and clinical impacts following the establishment of community transmission. They also supported the need for continued application of test-trace-isolate-quarantine and social measures during the vaccine roll-out phase and beyond.

Indexed as

COVID-19COVID-19 VaccinesAdultAustraliaHumansIncidenceSARS-CoV-2COVID-19 VaccinesCOVID-19mathematical modellingpandemic responsepublic health policySARS-CoV-2vaccination strategy

Identifiers

PMID37644838
PMCPMC10465974

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.