Evidence map›Paper›PMID 34812350›Full record

ArticleIEEE access : practical innovations, open solutions2020

A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing-Part II: Emerging Technologies and Open Issues.

Cong T Nguyen, Yuris Mulya Saputra, Nguyen Van Huynh, Ngoc-Tan Nguyen, Tran Viet Khoa, Bui Minh Tuan, Diep N Nguyen, Dinh Thai Hoang, Thang X Vu, Eryk Dutkiewicz and 2 more

Open access · goldAbstract read
In one paragraph

Article in IEEE access : practical innovations, open solutions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 2% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.

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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 at 4 institutions in 4 countries.

Cong T NguyenDepartment of Computer Science and EngineeringHo Chi Minh City University of Technology Ho Chi Minh City 700000 Vietnam.
Yuris Mulya SaputraSchool of Electrical and Data EngineeringUniversity of Technology Sydney Sydney NSW 2007 Australia.
Nguyen Van HuynhSchool of Electrical and Data EngineeringUniversity of Technology Sydney Sydney NSW 2007 Australia.
Ngoc-Tan NguyenSchool of Electrical and Data EngineeringUniversity of Technology Sydney Sydney NSW 2007 Australia.
Tran Viet KhoaVNU University of Engineering and Technology, Vietnam National University Hanoi 711000 Vietnam.
Bui Minh TuanVNU University of Engineering and Technology, Vietnam National University Hanoi 711000 Vietnam.
Diep N NguyenSchool of Electrical and Data EngineeringUniversity of Technology Sydney Sydney NSW 2007 Australia.
Dinh Thai HoangSchool of Electrical and Data EngineeringUniversity of Technology Sydney Sydney NSW 2007 Australia.
Thang X VuInterdisciplinary Centre for Security, Reliability and TrustUniversity of Luxembourg 4365 Luxembourg City Luxembourg.
Eryk DutkiewiczSchool of Electrical and Data EngineeringUniversity of Technology Sydney Sydney NSW 2007 Australia.
Symeon ChatzinotasInterdisciplinary Centre for Security, Reliability and TrustUniversity of Luxembourg 4365 Luxembourg City Luxembourg.
Bjorn OtterstenInterdisciplinary Centre for Security, Reliability and TrustUniversity of Luxembourg 4365 Luxembourg City Luxembourg.
University of Technology Sydney · AUUniversity of Luxembourg · LUVietnam National University, Hanoi · VNVietnam National University Ho Chi Minh City · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This two-part paper aims to provide a comprehensive survey on how emerging technologies, e.g., wireless and networking, artificial intelligence (AI) can enable, encourage, and even enforce social distancing practice. In Part I, an extensive background of social distancing is provided, and enabling wireless technologies are thoroughly surveyed. In this Part II, emerging technologies such as machine learning, computer vision, thermal, ultrasound, etc., are introduced. These technologies open many new solutions and directions to deal with problems in social distancing, e.g., symptom prediction, detection and monitoring quarantined people, and contact tracing. Finally, we discuss open issues and challenges (e.g., privacy-preserving, scheduling, and incentive mechanisms) in implementing social distancing in practice. As an example, instead of reacting with ad-hoc responses to COVID-19-like pandemics in the future, smart infrastructures (e.g., next-generation wireless systems like 6G, smart home/building, smart city, intelligent transportation systems) should incorporate a

Indexed as

AICOVID-19data analyticsincentive mechanismlocalizationmachine learningnetworkingpandemicpositioning systemsprivacy-preservingschedulingSocial distancingwireless

Identifiers

PMID34812350
PMCPMC8545305
OpenAlexW3080824426

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.