Evidence map›Paper›PMID 35336484›Full record

ReviewSensors (Basel, Switzerland)2022

Wireless Technologies for Social Distancing in the Time of COVID-19: Literature Review, Open Issues, and Limitations.

Sallar Salam Murad, Salman Yussof, Rozin Badeel

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 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. Article
  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

3 authors.

Sallar Salam MuradInstitute of Informatics and Computing in Energy, University Tenaga Nasional, Kajang 43000, Malaysia.ORCID 0000-0001-6189-4747
Salman YussofInstitute of Informatics and Computing in Energy, University Tenaga Nasional, Kajang 43000, Malaysia.
Rozin BadeelDepartment of Network, Parallel & Distributed Computing, University Putra Malaysia, Seri Kembangan 43400, Malaysia.ORCID 0000-0002-5527-264X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aims to provide a comprehensive background on social distancing as well as effective technologies that can be used to facilitate the social distancing practice. Scenarios of enabling wireless and emerging technologies are presented, which are especially effective in monitoring and keeping distance amongst people. In addition, detailed taxonomy is proposed summarizing the essential elements such as implementation type, scenarios, and technology being used. This research reviews and analyzes existing social distancing studies that focus on employing different kinds of technologies to fight the Coronavirus disease (COVID-19) pandemic. This study main goal is to identify and discuss the issues, challenges, weaknesses and limitations found in the existing models and/or systems to provide a clear understanding of the area. Articles were systematically collected and filtered based on certain criteria and within ten years span. The findings of this study will support future researchers and developers to solve specific issues and challenges, fill research gaps, and improve social distancing systems to fight pandemics similar to COVID-19.

Indexed as

COVID-19Wireless TechnologyHumansMotivationPandemicsPhysical DistancingCOVID-19pandemicsocial distancingwireless technologies

Identifiers

PMID35336484
PMCPMC8953680

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.