Evidence map›Paper›PMID 37068078›Full record

ArticlePLOS global public health2023

Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing.

Sheryl L Chang, Quang Dang Nguyen, Alexandra Martiniuk, Vitali Sintchenko, Tania C Sorrell, Mikhail Prokopenko

Abstract read
In one paragraph

Article in PLOS global public health, 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. Trial
  2. Article
  3. Article
  4. Article
  5. Long Covid Symptom Clusters, Correlates and Predictors in a Highly Vaccinated Australian Population in 2023.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors.

Sheryl L ChangCentre for Complex Systems, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0002-6119-828X
Quang Dang NguyenCentre for Complex Systems, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0002-0403-6903
Alexandra MartiniukFaculty of Medicine and Health, The University of Sydney, NSW, Australia.
Vitali SintchenkoSydney Institute for Infectious Diseases, The University of Sydney, Westmead, NSW, Australia.
Tania C SorrellSydney Institute for Infectious Diseases, The University of Sydney, Westmead, NSW, Australia.ORCID https://orcid.org/0000-0001-9460-0960
Mikhail ProkopenkoCentre for Complex Systems, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0002-4215-0344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We modelled emergence and spread of the Omicron variant of SARS-CoV-2 in Australia between December 2021 and June 2022. This pandemic stage exhibited a diverse epidemiological profile with emergence of co-circulating sub-lineages of Omicron, further complicated by differences in social distancing behaviour which varied over time. Our study delineated distinct phases of the Omicron-associated pandemic stage, and retrospectively quantified the adoption of social distancing measures, fluctuating over different time periods in response to the observable incidence dynamics. We also modelled the corresponding disease burden, in terms of hospitalisations, intensive care unit occupancy, and mortality. Supported by good agreement between simulated and actual health data, our study revealed that the nonlinear dynamics observed in the daily incidence and disease burden were determined not only by introduction of sub-lineages of Omicron, but also by the fluctuating adoption of social distancing measures. Our high-resolution model can be used in design and evaluation of public health interventions during future crises.

Identifiers

PMID37068078
PMCPMC10109475

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.