Evidence map›Paper›PMID 33509849›Full record

ArticleBMJ open2021

How big is your bubble? Characteristics of self-isolating household units ('bubbles') during the COVID-19 Alert Level 4 period in New Zealand: a cross-sectional survey.

Nethmi Kearns, Nick Shortt, Ciléin Kearns, Allie Eathorne, Mark Holliday, Diane Mackle, John Martindale, Alex Semprini, Mark Weatherall, Richard Beasley and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2021. 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
  2. Article
  3. Article
  4. Article
  5. Article
  6. Evolving perceptions of COVID-19 vaccines among remote Alaskan communities.International journal of circumpolar health · 2022
    Article
  7. COVID-19 Pandemic Lockdown and Wellbeing: Experiences from Aotearoa New Zealand in 2020.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Experience of Healthcare Access in Australia during the First Year of the COVID-19 Pandemic.International journal of environmental research and public health · 2021
    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

11 authors.

Nethmi KearnsMedical Research Institute of New Zealand, Wellington, New Zealand nethmi.kearns@mrinz.ac.nz.ORCID 0000-0002-3188-991X
Nick ShorttMedical Research Institute of New Zealand, Wellington, New Zealand.
Ciléin KearnsMedical Research Institute of New Zealand, Wellington, New Zealand.
Allie EathorneMedical Research Institute of New Zealand, Wellington, New Zealand.
Mark HollidayMedical Research Institute of New Zealand, Wellington, New Zealand.
Diane MackleMedical Research Institute of New Zealand, Wellington, New Zealand.
John MartindaleMedical Research Institute of New Zealand, Wellington, New Zealand.
Alex SempriniMedical Research Institute of New Zealand, Wellington, New Zealand.ORCID 0000-0003-0949-0555
Mark WeatherallMedical Research Institute of New Zealand, Wellington, New Zealand.
Richard BeasleyMedical Research Institute of New Zealand, Wellington, New Zealand.ORCID 0000-0003-0337-406X
Irene BraithwaiteMedical Research Institute of New Zealand, Wellington, New Zealand.ORCID 0000-0001-5327-3027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo characterise the self-isolating household units (bubbles) during the COVID-19 Alert Level 4 lockdown in New Zealand. DESIGN, SETTING AND

participantsIn this cross-sectional study, an online survey was distributed to a convenience sample via Facebook advertising and the Medical Research Institute of New Zealand's social media platforms and mailing list. Respondents were able to share a link to the survey via their own social media platforms and by email. Results were collected over 6 days during Alert Level 4 from respondents living in New Zealand, aged 16 years and over. MAIN OUTCOMES MEASURES: The primary outcome was the mean size of a self-isolating household unit or bubble. Secondary outcomes included the mean number of households in each bubble, the proportion of bubbles containing essential workers and/or vulnerable people, and the mean number of times the home was left each week.

results14 876 surveys were included in the analysis. The mean (SD) bubble size was 3.58 (4.63) people, with mean (SD) number of households 1.26 (0.77). The proportion of bubbles containing one or more essential workers, or one or more vulnerable persons was 45.3% and 42.1%, respectively. The mean number of times individual bubble members left their home in the previous week was 12.9 (12.4). Bubbles that contained at least one vulnerable individual had fewer outings over the previous week compared with bubbles that did not contain a vulnerable person. The bubble sizes were similar by respondent ethnicity.

conclusionIn this New Zealand convenience sample, bubble sizes were small, mostly limited to one household, and a high proportion contained essential workers and/or vulnerable people. Understanding these characteristics from a country which achieved a low COVID-19 infection rate may help inform public health interventions during this and future pandemics.

Indexed as

Family CharacteristicsAdultCOVID-19Cross-Sectional StudiesFemaleHumansMaleMiddle AgedNew ZealandResidence CharacteristicsSARS-CoV-2Surveys and QuestionnairesVulnerable PopulationsWhite Peoplehealth policyinfection controlpublic health

Identifiers

PMID33509849
PMCPMC7844934

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.