Evidence map›Paper›PMID 36722072›Full record

ArticleJournal of the Royal Society, Interface2023

Modelling the impact of the Omicron BA.5 subvariant in New Zealand.

Audrey Lustig, Giorgia Vattiato, Oliver Maclaren, Leighton M Watson, Samik Datta, Michael J Plank

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Modelling the impact of the Omicron BA.5 subvariant in New Zealand.Journal of the Royal Society, Interface · 2023
    Article
  9. Review
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.

Audrey LustigManaaki Whenua, Lincoln, New Zealand.
Giorgia VattiatoMathematics and Statistics, University of Canterbury, Christchurch, New Zealand.ORCID 0000-0002-7994-7541
Oliver MaclarenDepartment of Engineering Science, University of Auckland, Auckland, New Zealand.
Leighton M WatsonSchool of Earth and Environment, University of Canterbury, Christchurch, New Zealand.
Samik DattaNational Institute of Water and Atmospheric Research, Wellington, New Zealand.ORCID 0000-0003-2198-7900
Michael J PlankMathematics and Statistics, University of Canterbury, Christchurch, New Zealand.ORCID 0000-0002-7539-3465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New Zealand experienced a wave of the Omicron variant of SARS-CoV-2 in early 2022, which occurred against a backdrop of high two-dose vaccination rates, ongoing roll-out of boosters and paediatric doses, and negligible levels of prior infection. New Omicron subvariants have subsequently emerged with a significant growth advantage over the previously dominant BA.2. We investigated a mathematical model that included waning of vaccine-derived and infection-derived immunity, as well as the impact of the BA.5 subvariant which began spreading in New Zealand in May 2022. The model was used to provide scenarios to the New Zealand Government with differing levels of BA.5 growth advantage, helping to inform policy response and healthcare system preparedness during the winter period. In all scenarios investigated, the projected peak in new infections during the BA.5 wave was smaller than in the first Omicron wave in March 2022. However, results indicated that the peak hospital occupancy was likely to be higher than in March 2022, primarily due to a shift in the age distribution of infections to older groups. We compare model results with subsequent epidemiological data and show that the model provided a good projection of cases, hospitalizations and deaths during the BA.5 wave.

Indexed as

COVID-19ChildHospitalizationHumansNew ZealandSARS-CoV-2approximate Bayesian computationCOVID-19dynamic modelepidemiologyimmunitywaning

Identifiers

PMID36722072
PMCPMC9890098

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.