Evidence map›Paper›PMID 36812628›Full record

ArticlePLOS digital health2022

Emulation of epidemics via Bluetooth-based virtual safe virus spread: Experimental setup, software, and data.

Azam Asanjarani, Aminath Shausan, Keng Chew, Thomas Graham, Shane G Henderson, Hermanus M Jansen, Kirsty R Short, Peter G Taylor, Aapeli Vuorinen, Yuvraj Yadav and 2 more

Abstract read
In one paragraph

Article in PLOS digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

12 authors.

Azam AsanjaraniDepartment of Statistics, The University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-6115-073X
Aminath ShausanSchool of Mathematics and Physics, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-7397-498X
Keng ChewSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia.
Thomas GrahamSchool of Mathematics and Physics, The University of Queensland, Brisbane, Queensland, Australia.
Shane G HendersonSchool of Operations Research and Information Engineering, Cornell University, Ithaca, New York, United States of America.ORCID https://orcid.org/0000-0003-1004-4034
Hermanus M JansenDepartment of Engineering, University College Roosevelt, Middelburg, the Netherlands.
Kirsty R ShortSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0003-4963-6184
Peter G TaylorSchool of Mathematics and Statistics, The University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-7600-5383
Aapeli VuorinenDepartment of Industrial Engineering and Operations Research, Columbia University, New York, United States of America.
Yuvraj YadavMechanical Engineering Department, Indian Institute of Technology Delhi, New Delhi, Delhi, India.
Ilze ZiedinsDepartment of Statistics, The University of Auckland, Auckland, New Zealand.
Yoni NazarathySchool of Mathematics and Physics, The University of Queensland, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe an experimental setup and a currently running experiment for evaluating how physical interactions over time and between individuals affect the spread of epidemics. Our experiment involves the voluntary use of the Safe Blues Android app by participants at The University of Auckland (UoA) City Campus in New Zealand. The app spreads multiple virtual safe virus strands via Bluetooth depending on the physical proximity of the subjects. The evolution of the virtual epidemics is recorded as they spread through the population. The data is presented as a real-time (and historical) dashboard. A simulation model is applied to calibrate strand parameters. Participants' locations are not recorded, but participants are rewarded based on the duration of participation within a geofenced area, and aggregate participation numbers serve as part of the data. The 2021 experimental data is available as an open-source anonymized dataset, and once the experiment is complete, the remaining data will be made available. This paper outlines the experimental setup, software, subject-recruitment practices, ethical considerations, and dataset description. The paper also highlights current experimental results in view of the lockdown that started in New Zealand at 23:59 on August 17, 2021. The experiment was initially planned in the New Zealand environment, expected to be free of COVID and lockdowns after 2020. However, a COVID Delta strain lockdown shuffled the cards and the experiment is currently extended into 2022.

Identifiers

PMID36812628
PMCPMC9931351

What OpenQuestion holds

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LicenceCC BY
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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.