Evidence map›Paper›PMID 35394833›Full record

ArticleScience advances2022

COVID-19 in low-tolerance border quarantine systems: Impact of the Delta variant of SARS-CoV-2.

Cameron Zachreson, Freya M Shearer, David J Price, Michael J Lydeamore, Jodie McVernon, James McCaw, Nicholas Geard

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Cameron ZachresonSchool of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-0578-4049
Freya M ShearerMelbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.
David J PriceMelbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.ORCID 0000-0003-0076-3123
Michael J LydeamoreDepartment of Econometrics and Business Statistics, Monash University, Clayton, Victoria, Australia.ORCID 0000-0001-6515-827X
Jodie McVernonMelbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.ORCID 0000-0001-9774-1961
James McCawMelbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.ORCID 0000-0002-2452-3098
Nicholas GeardSchool of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0003-0069-2281

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In controlling transmission of coronavirus disease 2019 (COVID-19), the effectiveness of border quarantine strategies is a key concern for jurisdictions in which the local prevalence of disease and immunity is low. In settings like this such as China, Australia, and New Zealand, rare outbreak events can lead to escalating epidemics and trigger the imposition of large-scale lockdown policies. Here, we develop and apply an individual-based model of COVID-19 to simulate case importation from managed quarantine under various vaccination scenarios. We then use the output of the individual-based model as input to a branching process model to assess community transmission risk. For parameters corresponding to the Delta variant, our results demonstrate that vaccination effectively counteracts the pathogen's increased infectiousness. To prevent outbreaks, heightened vaccination in border quarantine systems must be combined with mass vaccination. The ultimate success of these programs will depend sensitively on the efficacy of vaccines against viral transmission.

Identifiers

PMID35394833
PMCPMC8993115

What OpenQuestion holds

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LicenceCC BY
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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.