Evidence map›Paper›PMID 34812392›Full record

ArticleIEEE access : practical innovations, open solutions2021

COVID-19 Contact Tracing Using Blockchain.

Haya R Hasan, Khaled Salah, Raja Jayaraman, Ibrar Yaqoob, Mohammed Omar, Samer Ellahham

Abstract read
In one paragraph

Article in IEEE access : practical innovations, open solutions, 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
  2. Article
  3. Review
  4. The German COVID-19 Digital Contact Tracing App: A Socioeconomic Evaluation.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. 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

6 authors.

Haya R HasanDepartment of Electrical Engineering and Computer ScienceKhalifa University of Science and Technology Abu Dhabi United Arab Emirates.
Khaled SalahDepartment of Electrical Engineering and Computer ScienceKhalifa University of Science and Technology Abu Dhabi United Arab Emirates.
Raja JayaramanDepartment of Industrial and Systems EngineeringKhalifa University of Science and Technology Abu Dhabi United Arab Emirates.
Ibrar YaqoobDepartment of Electrical Engineering and Computer ScienceKhalifa University of Science and Technology Abu Dhabi United Arab Emirates.
Mohammed OmarDepartment of Industrial and Systems EngineeringKhalifa University of Science and Technology Abu Dhabi United Arab Emirates.
Samer EllahhamHeart and Vascular Institute, Cleveland Clinic Abu Dhabi Abu Dhabi United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contact tracing has widely been adopted to control the spread of Coronavirus-2019 (COVID-19). It enables to identify, assess, and manage people who have been exposed to COVID-19, thereby preventing from its further transmission. Today's most of the contact tracing approaches, tools, and solutions fall short in providing decentralized, transparent, traceable, immutable, auditable, secure, and trustworthy features. In this paper, we propose a decentralized blockchain-based COVID-19 contact tracing solution. Contact tracing can greatly suffice the need for a speedy response to a pandemic. We leverage the immutable and tamper-proof features of blockchain to enforce trust, accountability, and transparency. Trusted and registered oracles are used to bridge the gap between on-chain and off-chain data. With no third parties involved or centralized servers, the users' medical information is not prone to invasion, hacking, or abuse. Each user is registered using their digital medical passports. To respect the privacy of the users, their locations are updated with a time delay of 20 minutes. Using Ethereum smart contracts, transactions are executed on-chain with emitted events and immutable logs. We present details of the implemented algorithms and their testing analysis. We evaluate the proposed approach using security, cost, and privacy parameters to show its effectiveness. The smart contracts code is publicly made available on GitHub.

Indexed as

blockchaincontact tracingCOVID-19Ethereum smart contractssecurity analysistransparency

Identifiers

PMID34812392
PMCPMC8545209

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.