The DOI matches its Crossref record; the references it cites are not checked yet.
COVID-19 digital contact tracing worked — heed the lessons for future pandemics
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Claims the paper makes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Many mobile apps have been developed using Bluetooth and Wi-Fi technology to understand outbreak epidemiology, individual screening and contact tracing.
“Many mobile apps have been developed using such technology to understand outbreak epidemiology, individual screening and contact tracing [172–174].”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [174]
Citations
The citation lists haven’t been fetched yet
References 9 · Cited by 10
Research works printed but not linked: 2
- Troncoso, C. et al. Preprint at https://arxiv.org/abs/2005.12273 (2020). · arXiv
- WHO and ECDC. Indicator Framework for the Evaluation of the Public Health Effectiveness of Digital Proximity Tracing Solutions (World Health Organization and European Centre for Disease Prevention and Control, 2021).
Metadata
- Authors
- Salathé, M.
- Affiliations
- École Polytechnique Fédérale de Lausanne (CH)
- Corresponding author
- Salathé, Marcel
- ORCID
- Salathé, Marcel
- Venue
- Nature
- Published
- 2023-07-03
- Volume
- 619
- Issue
- 7968
- Pages
- 31-33
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W4382939578
- Cited by
- 10
- References
- 9
- Citations by year
- 2025: 4 · 2024: 3 · 2023: 3
- FWCI
- 2.35
- Type
- journal article
- Language
- en
- Open access
- green
- infoscience.epfl.ch
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Information Systems › COVID-19 Digital Contact Tracing
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
- Keywords
- COVID-19 pandemic, digital contact tracing, privacy-preserving techniques, pandemic preparedness, COVID-19 mortality
- MeSH terms
- COVID-19, Humans, Contact Tracing, Privacy, Pandemics, Mobile Applications
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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