Literature DB >> 35009822

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions.

Uzoma Rita Alo1, Friday Onwe Nkwo1, Henry Friday Nweke2, Ifeanyi Isaiah Achi1, Henry Anayo Okemiri1.   

Abstract

The COVID-19 Pandemic has punched a devastating blow on the majority of the world's population. Millions of people have been infected while hundreds of thousands have died of the disease throwing many families into mourning and other psychological torments. It has also crippled the economy of many countries of the world leading to job losses, high inflation, and dwindling Gross Domestic Product (GDP). The duo of social distancing and contact tracing are the major technological-based non-pharmaceutical public health intervention strategies adopted for combating the dreaded disease. These technologies have been deployed by different countries around the world to achieve effective and efficient means of maintaining appropriate distance and tracking the transmission pattern of the diseases or identifying those at high risk of infecting others. This paper aims to synthesize the research efforts on contact tracing and social distancing to minimize the spread of COVID-19. The paper critically and comprehensively reviews contact tracing technologies, protocols, and mobile applications (apps) that were recently developed and deployed against the coronavirus disease. Furthermore, the paper discusses social distancing technologies, appropriate methods to maintain distances, regulations, isolation/quarantine, and interaction strategies. In addition, the paper highlights different security/privacy vulnerabilities identified in contact tracing and social distancing technologies and solutions against these vulnerabilities. We also x-rayed the strengths and weaknesses of the various technologies concerning their application in contact tracing and social distancing. Finally, the paper proposed insightful recommendations and open research directions in contact tracing and social distancing that could assist researchers, developers, and governments in implementing new technological methods to combat the menace of COVID-19.

Entities:  

Keywords:  COVID-19; artificial intelligence; contact tracing; internet of things; review; sensor technologies; social distancing

Mesh:

Year:  2021        PMID: 35009822      PMCID: PMC8749862          DOI: 10.3390/s22010280

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  72 in total

Review 1.  Mobile Health Apps That Help With COVID-19 Management: Scoping Review.

Authors:  Hanson John Leon Singh; Danielle Couch; Kevin Yap
Journal:  JMIR Nurs       Date:  2020-08-06

2.  Personnel scheduling during Covid-19 pandemic.

Authors:  Giorgio Zucchi; Manuel Iori; Anand Subramanian
Journal:  Optim Lett       Date:  2020-10-04       Impact factor: 1.769

Review 3.  Critical overview on the application of sensors and biosensors for clinical analysis.

Authors:  Celine I L Justino; Armando C Duarte; Teresa A P Rocha-Santos
Journal:  Trends Analyt Chem       Date:  2016-04-08       Impact factor: 12.296

Review 4.  Considerations for the Design and Implementation of COVID-19 Contact Tracing Apps: Scoping Review.

Authors:  Esli Osmanlliu; Edmond Rafie; Sylvain Bédard; Jesseca Paquette; Genevieve Gore; Marie-Pascale Pomey
Journal:  JMIR Mhealth Uhealth       Date:  2021-06-09       Impact factor: 4.773

5.  Efficacy of contact tracing for the containment of the 2019 novel coronavirus (COVID-19).

Authors:  Matt J Keeling; T Deirdre Hollingsworth; Jonathan M Read
Journal:  J Epidemiol Community Health       Date:  2020-06-23       Impact factor: 3.710

6.  Mitigating staff risk in the workplace: the use of RFID technology during a COVID-19 pandemic and beyond.

Authors:  Shaun Mehta; Kiran Grant; Cori Atlin; Alun Ackery
Journal:  BMJ Health Care Inform       Date:  2020-11

7.  Rapid design and implementation of an integrated patient self-triage and self-scheduling tool for COVID-19.

Authors:  Timothy J Judson; Anobel Y Odisho; Aaron B Neinstein; Jessica Chao; Aimee Williams; Christopher Miller; Tim Moriarty; Nathaniel Gleason; Gina Intinarelli; Ralph Gonzales
Journal:  J Am Med Inform Assoc       Date:  2020-06-01       Impact factor: 4.497

8.  COVID-19 social distancing in the Kingdom of Saudi Arabia: Bold measures in the face of political, economic, social and religious challenges.

Authors:  Saber Yezli; Anas Khan
Journal:  Travel Med Infect Dis       Date:  2020-04-21       Impact factor: 6.211

9.  Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection.

Authors:  Mohamed Loey; Gunasekaran Manogaran; Mohamed Hamed N Taha; Nour Eldeen M Khalifa
Journal:  Sustain Cities Soc       Date:  2020-11-12       Impact factor: 7.587

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  1 in total

1.  Predicting and preventing COVID-19 outbreaks in indoor environments: an agent-based modeling study.

Authors:  Mardochee Reveil; Yao-Hsuan Chen
Journal:  Sci Rep       Date:  2022-09-27       Impact factor: 4.996

  1 in total

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