Evidence map›Paper›PMID 39513178›Full record

ArticleDigital health

Ethical considerations of public health surveillance in the age of the internet of things technologies: A perspective.

Thokozani Hanjahanja-Phiri, Matheus Lotto, Arlene Oetomo, Jennifer Borger, Zahid Butt, Plinio Pelegrini Morita

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Thokozani Hanjahanja-PhiriSchool of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.ORCID https://orcid.org/0000-0001-6065-2703
Matheus LottoDepartment of Pediatric Dentistry, Orthodontics and Public Health, Bauru School of Dentistry, University of São Paulo, São Paulo, Brazil.
Arlene OetomoSchool of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.
Jennifer BorgerDepartment of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.ORCID https://orcid.org/0000-0001-6150-151X
Zahid ButtSchool of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.
Plinio Pelegrini MoritaSchool of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the age of the Internet of Things (IoT), ethical considerations of digitally-led public health surveillance are crucial. However, their application becomes complicated due to an implicit dichotomy of ethical and legal factors. Decision-makers often omit ethical considerations, citing legal ones to justify how public health surveillance is approached and implemented. We propose an analytical framework informed by a further exposition of how influence and power are enacted at the macro, meso, and micro levelscorrelated to a spectrum of ethical practices. We then apply the spectrum of ethical practices to the four use cases of "Healthcare Delivery Using Drones", "COVID-19 Pandemic in Canada", "Air Quality and Air Pollution", and "Heatwaves". When technology deployment prioritizes efficiency over accessibility, it can exacerbate disparities, especially for individuals with lower socioeconomic status and literacy levels. To mitigate these issues, it is essential to incorporate public deliberation, co-design, and community engagement into decision-making processes. This approach advances the incorporation of diverse perspectives to better frame technology initiatives.

Indexed as

digital health technologyenvironmental healthEthicsinternet of dronesinternet of thingspublic health surveillance

Identifiers

PMID39513178
PMCPMC11542116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.