Cited by 159COVID-19 Digital Contact TracingData-Driven Disease SurveillanceHealthcare during COVID-19 Pandemic

The Use of Digital Health in the Detection and Management of COVID-19

Open access
Alwashmi, Meshari·2020·International Journal of Environmental Research and Public Health

Abstract

Digital health is uniquely positioned to enhance the way we detect and manage infectious diseases. This commentary explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring. Methods that could potentially reduce the exposure of healthcare providers to the virus are also discussed.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/ijerph17082906

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Remote consultations have been playing a substantial role in the health care response to the current COVID-19 pandemic by supporting continued access to services with minimized risk of disease transmission.

    “remote consultations have been playing a substantial role in the health care response to the current COVID-19 pandemic by supporting continued access to services with minimized risk of disease transmission [2,3].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [8]COVID-19 Open Research Dataset (CORD-19) Semantic Scholar Published 2020 Available online: https://pages.semanticscholar.org/coronavirus-research (accessed on 30 March 2020)

Cited by

Sorted by citations

Authors
Alwashmi, M.
Affiliations
Memorial University of Newfoundland (CA)
Corresponding author
Alwashmi, Meshari
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2020-04-23
Volume
17
Issue
8
Pages
2906
ISSN
1660-4601 (ISSN-L)
OpenAlex
W3019586571
Cited by
159
References
24
Citations by year
2026: 5 · 2025: 9 · 2024: 22 · 2023: 19 · 2022: 26 · 2021: 53 · 2020: 25
FWCI
28.93
Type
journal article
Language
en
Open access
Locations
  • International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › COVID-19 Digital Contact Tracing
  • Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
  • Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
Keywords
digital health, COVID-19 pandemic, disease surveillance, screening, triage, diagnosis, patient monitoring, healthcare worker safety, infectious disease detection
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, Disease Outbreaks, Health Personnel, Humans, Mass Screening, Monitoring, Physiologic, Pneumonia, Viral, Population Surveillance, Software, Triage, Contact Tracing, Telemedicine, Coronavirus Infections, Biomedical Technology, Pandemics, Mobile Applications

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review