Evidence map›Paper›PMID 35111915›Full record

ArticlePeerJ. Computer science2022

Data privacy during pandemics: a systematic literature review of COVID-19 smartphone applications.

Amany Alshawi, Muna Al-Razgan, Fatima H AlKallas, Raghad Abdullah Bin Suhaim, Reem Al-Tamimi, Norah Alharbi, Sarah Omar AlSaif

Open access · goldAbstract read
In one paragraph

Article in PeerJ. Computer science, 2022. 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
5.4field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Mobile Apps for COVID-19: A Systematic Review of Reviews.Healthcare (Basel, Switzerland) · 2024
    Review
  4. Article
  5. The German COVID-19 Digital Contact Tracing App: A Socioeconomic Evaluation.International journal of environmental research and public health · 2022
    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

7 authors at 2 institutions in 1 country.

Amany AlshawiKing Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia.
Muna Al-RazganKing Saud University (KSU), Riyad, Saudi Arabia.ORCID 0000-0002-9705-3867
Fatima H AlKallasKing Saud University (KSU), Riyad, Saudi Arabia.
Raghad Abdullah Bin SuhaimKing Saud University (KSU), Riyad, Saudi Arabia.
Reem Al-TamimiKing Saud University (KSU), Riyad, Saudi Arabia.
Norah AlharbiKing Saud University (KSU), Riyad, Saudi Arabia.
Sarah Omar AlSaifKing Saud University (KSU), Riyad, Saudi Arabia.
King Saud University · SAKing Abdulaziz City for Science and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOn January 8, 2020, the Centers for Disease Control and Prevention officially announced a new virus in Wuhan, China. The first novel coronavirus (COVID-19) case was discovered on December 1, 2019, implying that the disease was spreading quietly and quickly in the community before reaching the rest of the world. To deal with the virus' wide spread, countries have deployed contact tracing mobile applications to control viral transmission. Such applications collect users' information and inform them if they were in contact with an individual diagnosed with COVID-19. However, these applications might have affected human rights by breaching users' privacy. METHODOLOGY: This systematic literature review followed a comprehensive methodology to highlight current research discussing such privacy issues. First, it used a search strategy to obtain 808 relevant papers published in 2020 from well-established digital libraries. Second, inclusion/exclusion criteria and the snowballing technique were applied to produce more comprehensive results. Finally, by the application of a quality assessment procedure, 40 studies were chosen.

resultsThis review highlights privacy issues, discusses centralized and decentralized models and the different technologies affecting users' privacy, and identifies solutions to improve data privacy from three perspectives: public, law, and health considerations.

conclusionsGovernments need to address the privacy issues related to contact tracing apps. This can be done through enforcing special policies to guarantee users privacy. Additionally, it is important to be transparent and let users know what data is being collected and how it is being used.

Indexed as

Contact tracingCOVID-19Location privacyMobile applicationPrivacyPrivacy protection

Identifiers

PMID35111915
PMCPMC8771796
OpenAlexW4206554151

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.