Evidence map›Paper›PMID 34518816›Full record

ArticleHuman behavior and emerging technologies2021

Ethics for integrating emerging technologies to contain COVID-19 in Zimbabwe.

Elliot Mbunge, Stephen G Fashoto, Boluwaji Akinnuwesi, Andile Metfula, Sakhile Simelane, Nzuza Ndumiso

Abstract read
In one paragraph

Article in Human behavior and emerging technologies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Ethics of Wearable-Based Out-of-Hospital Cardiac Arrest Detection.Circulation. Arrhythmia and electrophysiology · 2024
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. 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.

Elliot MbungeDepartment of Computer Science, Faculty of Science and Engineering University of Eswatini Manzini Swaziland.ORCID https://orcid.org/0000-0003-4504-6697
Stephen G FashotoDepartment of Computer Science, Faculty of Science and Engineering University of Eswatini Manzini Swaziland.
Boluwaji AkinnuwesiDepartment of Computer Science, Faculty of Science and Engineering University of Eswatini Manzini Swaziland.
Andile MetfulaDepartment of Computer Science, Faculty of Science and Engineering University of Eswatini Manzini Swaziland.
Sakhile SimelaneDepartment of Computer Science, Faculty of Science and Engineering University of Eswatini Manzini Swaziland.
Nzuza NdumisoDepartment of Computer Science, Faculty of Science and Engineering University of Eswatini Manzini Swaziland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zimbabwe is among the countries affected with the coronavirus disease (COVID-19) and implemented several infection control and measures such as social distancing, contact tracing, regular temperature checking in strategic entry and exit points, face masking among others. The country also implemented recursive national lockdowns and curfews to reduce the virus transmission rate and its catastrophic impact. These large-scale measures are not easy to implement, adhere to and subsequently difficult to practice and maintain which lead to imperfect public compliance, especially if there is a significant impact on social and political norms, economy, and psychological wellbeing of the affected population. Also, emerging COVID-19 variants, porous borders, regular movement of informal traders and sale of fake vaccination certificates continue to threaten impressive progress made towards virus containment. Therefore, several emerging technologies have been adopted to strengthen the health system and health services delivery, improve compliance, adherence and maintain social distancing. These technologies use health data, symptoms monitoring, mobility, location and proximity data for contact tracing, self-isolation, and quarantine compliance. However, the use of emerging technologies has been debatable and contentious because of the potential violation of ethical values such as security and privacy, data format and management, synchronization, over-tracking, over-surveillance and lack of proper development and implementation guidelines which impact their efficacy, adoption and ultimately influence public trust. Therefore, the study proposes ethical framework for using emerging technologies to contain the COVID-19 pandemic. The framework is centered on ethical practices such as security, privacy, justice, human dignity, autonomy, solidarity, beneficence, and non-maleficence.

Indexed as

artificial intelligenceCOVID‐19digital technologiesethical valuesinternet of medical thingssocial distancing monitoring tools

Identifiers

PMID34518816
PMCPMC8427041

What OpenQuestion holds

Textmetadata
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.