Evidence map›Paper›PMID 31124466›Full record

ArticleJournal of medical Internet research2019

Participatory Disease Surveillance Systems: Ethical Framework.

Lester Darryl Geneviève, Andrea Martani, Tenzin Wangmo, Daniela Paolotti, Carl Koppeschaar, Charlotte Kjelsø, Caroline Guerrisi, Marco Hirsch, Olivia Woolley-Meza, Paul Lukowicz and 2 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Smartphone apps in the COVID-19 pandemic.Nature biotechnology · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. COVID-19 surveillance systems in African countries.Health promotion perspectives · 2021
    Review
  15. Article
  16. Article
  17. Special Section on Ethics in Health Informatics.Yearbook of medical informatics · 2020
    Review
  18. Article
  19. Review
  20. 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

12 authors.

Lester Darryl GenevièveInstitute for Biomedical Ethics, University of Basel, Basel, Switzerland.ORCID 0000-0001-5834-2220
Andrea MartaniInstitute for Biomedical Ethics, University of Basel, Basel, Switzerland.ORCID 0000-0003-2113-1002
Tenzin WangmoInstitute for Biomedical Ethics, University of Basel, Basel, Switzerland.ORCID 0000-0003-0857-0510
Daniela PaolottiInstitue for Scientific Interchange Foundation, Torino, Italy.ORCID 0000-0003-1356-3470
Carl KoppeschaarDe Grote Griepmeting, Science in Action BV, Amsterdam, Netherlands.ORCID 0000-0002-2665-6855
Charlotte KjelsøStatens Serum Institut, København, Denmark.ORCID 0000-0002-9251-6025
Caroline GuerrisiSorbonne Université, Institut National de la Santé et de la Recherche Médicale, Institut Pierre Louis d'Épidémiologie et de Santé Publique, Paris, France.ORCID 0000-0002-2425-4457
Marco HirschGerman Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany.ORCID 0000-0002-5184-3222
Olivia Woolley-MezaETH Zurich, Swiss Federal Institute of Technology, Zurich, Switzerland.ORCID 0000-0003-4517-2765
Paul LukowiczGerman Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany.ORCID 0000-0003-0320-6656
Antoine FlahaultInstitute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-6957-2977
Bernice Simone ElgerInstitute for Biomedical Ethics, University of Basel, Basel, Switzerland.ORCID 0000-0002-4249-7399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in information technology are changing public health at an unprecedented rate. Participatory surveillance systems are contributing to public health by actively engaging digital (eg, Web-based) communities of volunteer citizens to report symptoms and other pertinent information on public health threats and also by empowering individuals to promptly respond to them. However, this digital model raises ethical issues on top of those inherent in traditional forms of public health surveillance. Research ethics are undergoing significant changes in the digital era where not only participants' physical and psychological well-being but also the protection of their sensitive data have to be considered. In this paper, the digital platform of Influenzanet is used as a case study to illustrate those ethical challenges posed to participatory surveillance systems using digital platforms and mobile apps. These ethical challenges include the implementation of electronic consent, the protection of participants' privacy, the promotion of justice, and the need for interdisciplinary capacity building of research ethics committees. On the basis of our analysis, we propose a framework to regulate and strengthen ethical approaches in the field of digital public health surveillance.

Indexed as

Ethics, ResearchHumansPublic Health Surveillanceethicsinfluenza, humanpublic health surveillanceresearchsmartphone

Identifiers

PMID31124466
PMCPMC6660191

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.