Evidence map›Paper›PMID 31420560›Full record

ArticleScientific data2019

Creating a surrogate commuter network from Australian Bureau of Statistics census data.

Kristopher M Fair, Cameron Zachreson, Mikhail Prokopenko

Abstract read
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Risk mapping for COVID-19 outbreaks in Australia using mobility data.Journal of the Royal Society, Interface · 2021
    Article
  13. Simulation of pandemics in real cities: enhanced and accurate digital laboratories.Proceedings. Mathematical, physical, and engineering sciences · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. The Effects of Imitation Dynamics on Vaccination Behaviours in SIR-Network Model.International journal of environmental research and public health · 2019
    Article
  20. 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

3 authors.

Kristopher M FairComplex Systems Research Group, School of Civil Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, 2006, Australia. kristopher.fair@sydney.edu.au.ORCID http://orcid.org/0000-0001-7559-9300
Cameron ZachresonComplex Systems Research Group, School of Civil Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, 2006, Australia.ORCID http://orcid.org/0000-0002-0578-4049
Mikhail ProkopenkoComplex Systems Research Group, School of Civil Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, 2006, Australia.ORCID http://orcid.org/0000-0002-4215-0344

Funding

Department of Education and Training | Australian Research Council (ARC) DP160102742
6 · The paper itself

Abstract

Between the 2011 and 2016 national censuses, the Australian Bureau of Statistics changed its anonymity policy compliance system for the distribution of census data. The new method has resulted in dramatic inconsistencies when comparing low-resolution data to aggregated high-resolution data. Hence, aggregated totals do not match true totals, and the mismatch gets worse as the data resolution gets finer. Here, we address several aspects of this inconsistency with respect to the 2016 usual-residence to place-of-work travel data. We introduce a re-sampling system that rectifies many of the artifacts introduced by the new ABS protocol, ensuring a higher level of consistency across partition sizes. We offer a surrogate high-resolution 2016 commuter dataset that reduces the difference between the aggregated and true commuter totals from ~34% to only ~7%, which is on the order of the discrepancy across partition resolutions in data from earlier years.

Identifiers

PMID31420560
PMCPMC6697727

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.