Evidence map›Paper›PMID 33197234›Full record

SynthesisJournal of medical Internet research2020

COVID-19 Mobile Apps: A Systematic Review of the Literature.

Haridimos Kondylakis, Dimitrios G Katehakis, Angelina Kouroubali, Fokion Logothetidis, Andreas Triantafyllidis, Ilias Kalamaras, Konstantinos Votis, Dimitrios Tzovaras

Open access · goldAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 7 pooled it
47.7field-weighted citation impact, top 1% of its field
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

92 citing papers in PubMed, 7 syntheses or guidelines pooled it, 222 citations in OpenAlex.

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32 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

Haridimos Kondylakis *Computational Biomedicine Laboratory, Foundation for Research and Technology - Hellas-Institute of Computer Science, Heraklion, Greece.ORCID 0000-0002-9917-4486
Dimitrios G Katehakis *Center for eHealth Applications and Services, Foundation for Research and Technology - Hellas, Institute of Computer Science, Heraklion, Greece.ORCID 0000-0002-3763-191X
Angelina Kouroubali *Computational Biomedicine Laboratory, Foundation for Research and Technology - Hellas-Institute of Computer Science, Heraklion, Greece.ORCID 0000-0002-3023-8242
Fokion Logothetidis *Center for eHealth Applications and Services, Foundation for Research and Technology - Hellas, Institute of Computer Science, Heraklion, Greece.ORCID 0000-0002-5156-6405
Andreas Triantafyllidis *Information Technologies Institute, Centre for Research and Technology - Hellas, Thessaloniki, Greece.ORCID 0000-0002-6938-8256
Ilias Kalamaras *Information Technologies Institute, Centre for Research and Technology - Hellas, Thessaloniki, Greece.ORCID 0000-0001-6286-0557
Konstantinos Votis *Information Technologies Institute, Centre for Research and Technology - Hellas, Thessaloniki, Greece.ORCID 0000-0001-6381-8326
Dimitrios Tzovaras *Information Technologies Institute, Centre for Research and Technology - Hellas, Thessaloniki, Greece.ORCID 0000-0001-6915-6722
Foundation for Research and Technology Hellas · GRInformation Technologies Institute · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA vast amount of mobile apps have been developed during the past few months in an attempt to "flatten the curve" of the increasing number of COVID-19 cases.

objectiveThis systematic review aims to shed light into studies found in the scientific literature that have used and evaluated mobile apps for the prevention, management, treatment, or follow-up of COVID-19.

methodsWe searched the bibliographic databases Global Literature on Coronavirus Disease, PubMed, and Scopus to identify papers focusing on mobile apps for COVID-19 that show evidence of their real-life use and have been developed involving clinical professionals in their design or validation.

resultsMobile apps have been implemented for training, information sharing, risk assessment, self-management of symptoms, contact tracing, home monitoring, and decision making, rapidly offering effective and usable tools for managing the COVID-19 pandemic.

conclusionsMobile apps are considered to be a valuable tool for citizens, health professionals, and decision makers in facing critical challenges imposed by the pandemic, such as reducing the burden on hospitals, providing access to credible information, tracking the symptoms and mental health of individuals, and discovering new predictors.

Indexed as

COVID-19HumansMobile ApplicationsCOVID-19eHealthmobile appsmobile healthsystematic survey

Identifiers

PMID33197234
PMCPMC7732358
OpenAlexW3091913433

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.