Evidence map›Paper›PMID 31211938›Full record

ArticleEmerging infectious diseases2019

Ethical Considerations for Movement Mapping to Identify Disease Transmission Hotspots.

Bouke C de Jong, Badou M Gaye, Jeroen Luyten, Bart van Buitenen, Emmanuel André, Conor J Meehan, Cian O'Siochain, Kristyna Tomsu, Jérôme Urbain, Koen Peeters Grietens and 8 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Use of cell phone data to correct Île-de-France population estimates and SARS-CoV-2 incidence, July to September, 2021: a proof-of-concept exercise.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  4. Review
  5. Article
  6. Article
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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

18 authors.

Bouke C de Jong
Badou M Gaye
Jeroen Luyten
Bart van Buitenen
Emmanuel André
Conor J Meehan
Cian O'Siochain
Kristyna Tomsu
Jérôme Urbain
Koen Peeters Grietens
Maureen Njue
Wim Pinxten
Florian Gehre
Ousman Nyan
Anne Buvé
Anna Roca
Raffaella Ravinetto
Martin Antonio

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional public health methods for detecting infectious disease transmission, such as contact tracing and molecular epidemiology, are time-consuming and costly. Information and communication technologies, such as global positioning systems, smartphones, and mobile phones, offer opportunities for novel approaches to identifying transmission hotspots. However, mapping the movements of potentially infected persons comes with ethical challenges. During an interdisciplinary meeting of researchers, ethicists, data security specialists, information and communication technology experts, epidemiologists, microbiologists, and others, we arrived at suggestions to mitigate the ethical concerns of movement mapping. These suggestions include a template Data Protection Impact Assessment that follows European Union General Data Protection Regulations.

Indexed as

Ethics, MedicalPublic Health SurveillanceSentinel SurveillanceCell PhoneCommunicable DiseasesCost-Benefit AnalysisDisease OutbreaksGeographic Information SystemsHumansInformed ConsentPopulation SurveillancePrivacyRisk AssessmentethicsGPSinfectious diseasesmobile phonesmovement mappingsmartphonestransmission hotspots

Identifiers

PMID31211938
PMCPMC6590736

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.