Evidence map›Paper›PMID 35009822›Full record

ReviewSensors (Basel, Switzerland)2021

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

Uzoma Rita Alo, Friday Onwe Nkwo, Henry Friday Nweke, Ifeanyi Isaiah Achi, Henry Anayo Okemiri

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

5 authors.

Uzoma Rita AloDepartment of Computer Science and Informatics, Alex Ekwueme Federal University, Ndufu-Alike, Ikwo P.M.B 1010, Abakaliki 480211, Ebonyi State, Nigeria.
Friday Onwe NkwoDepartment of Computer Science and Informatics, Alex Ekwueme Federal University, Ndufu-Alike, Ikwo P.M.B 1010, Abakaliki 480211, Ebonyi State, Nigeria.
Henry Friday NwekeCentre for Research in Machine Learning, Artificial Intelligence and Network Systems, Computer Science Department, Ebonyi State University, P.M.B 053, Abakaliki 480211, Ebonyi State, Nigeria.ORCID 0000-0001-5196-764X
Ifeanyi Isaiah AchiDepartment of Computer Science and Informatics, Alex Ekwueme Federal University, Ndufu-Alike, Ikwo P.M.B 1010, Abakaliki 480211, Ebonyi State, Nigeria.
Henry Anayo OkemiriDepartment of Computer Science and Informatics, Alex Ekwueme Federal University, Ndufu-Alike, Ikwo P.M.B 1010, Abakaliki 480211, Ebonyi State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19Contact TracingHumansPandemicsPhysical DistancingSARS-CoV-2artificial intelligencecontact tracingCOVID-19internet of thingsreviewsensor technologiessocial distancing

Identifiers

PMID35009822
PMCPMC8749862

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.