Evidence map›Paper›PMID 29085755›Full record

ArticlePeerJ2017

Indigenous Australian household structure: a simple data collection tool and implications for close contact transmission of communicable diseases.

Thiripura Vino, Gurmeet R Singh, Belinda Davison, Patricia T Campbell, Michael J Lydeamore, Andrew Robinson, Jodie McVernon, Steven Y C Tong, Nicholas Geard

Abstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
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  12. Article
  13. The Relationship between Infectious Diseases and Housing Maintenance in Indigenous Australian Households.International journal of environmental research and public health · 2018
    Review
  14. Global Scale Dissemination of ST93: A DivergentFrontiers in microbiology · 2018
    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

9 authors.

Thiripura VinoSchool of Mathematics and Statistics, University of Melbourne, Melbourne, Victoria, Australia.
Gurmeet R SinghMenzies School of Health Research, Darwin, Northern Territory, Australia.
Belinda DavisonMenzies School of Health Research, Darwin, Northern Territory, Australia.
Patricia T CampbellMurdoch Children's Research Institute, The Royal Children's Hospital, Melbourne, Victoria, Australia.
Michael J LydeamoreMurdoch Children's Research Institute, The Royal Children's Hospital, Melbourne, Victoria, Australia.
Andrew RobinsonSchool of Mathematics and Statistics, University of Melbourne, Melbourne, Victoria, Australia.
Jodie McVernonVictorian Infectious Disease Reference Laboratory, The Royal Melbourne Hospital and The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
Steven Y C TongMenzies School of Health Research, Darwin, Northern Territory, Australia.
Nicholas GeardMelbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Households are an important location for the transmission of communicable diseases. Social contact between household members is typically more frequent, of greater intensity, and is more likely to involve people of different age groups than contact occurring in the general community. Understanding household structure in different populations is therefore fundamental to explaining patterns of disease transmission in these populations. Indigenous populations in Australia tend to live in larger households than non-Indigenous populations, but limited data are available on the structure of these households, and how they differ between remote and urban communities. We have developed a novel approach to the collection of household structure data, suitable for use in a variety of contexts, which provides a detailed view of age, gender, and room occupancy patterns in remote and urban Australian Indigenous households. Here we report analysis of data collected using this tool, which quantifies the extent of crowding in Indigenous households, particularly in remote areas. We use these data to generate matrices of age-specific contact rates, as used by mathematical models of infectious disease transmission. To demonstrate the impact of household structure, we use a mathematical model to simulate an influenza-like illness in different populations. Our simulations suggest that outbreaks in remote populations are likely to spread more rapidly and to a greater extent than outbreaks in non-Indigenous populations.

Indexed as

AboriginalCommunicable diseasesDemographicsHousingIndigenousInfluenzaSocial contact

Identifiers

PMID29085755
PMCPMC5660877

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.