Evidence map›Paper›PMID 35726090›Full record

ReviewNature biotechnology2022

Smartphone apps in the COVID-19 pandemic.

Jay A Pandit, Jennifer M Radin, Giorgio Quer, Eric J Topol

Open access · bronzeAbstract readReview
In one paragraph

Review in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
30.8field-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

47 citing papers in PubMed, 102 citations in OpenAlex.

  1. Trial
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  5. Proteomics in the Diagnosis of Viral and Pathogenic Infections.Advances in experimental medicine and biology · 2026
    Review
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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

4 authors at 2 institutions in 1 country.

Jay A PanditScripps Research Translational Institute, Scripps Research, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-0119-0881
Jennifer M RadinScripps Research Translational Institute, Scripps Research, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-3843-0842
Giorgio QuerScripps Research Translational Institute, Scripps Research, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-2208-7912
Eric J TopolScripps Research Translational Institute, Scripps Research, La Jolla, CA, USA. etopol@scripps.edu.ORCID http://orcid.org/0000-0002-1478-4729
Scripps Research Institute · USNorthwestern University · US

Funding

Scripps Translational Science InstituteUL1TR002550 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2018 to 2022
$28.9M
NCATS NIH HHS UL1 TR002550
6 · The paper itself

Abstract

At the beginning of the COVID-19 pandemic, analog tools such as nasopharyngeal swabs for PCR tests were center stage and the major prevention tactics of masking and physical distancing were a throwback to the 1918 influenza pandemic. Overall, there has been scant regard for digital tools, particularly those based on smartphone apps, which is surprising given the ubiquity of smartphones across the globe. Smartphone apps, given accessibility in the time of physical distancing, were widely used for tracking, tracing and educating the public about COVID-19. Despite limitations, such as concerns around data privacy, data security, digital health illiteracy and structural inequities, there is ample evidence that apps are beneficial for understanding outbreak epidemiology, individual screening and contact tracing. While there were successes and failures in each category, outbreak epidemiology and individual screening were substantially enhanced by the reach of smartphone apps and accessory wearables. Continued use of apps within the digital infrastructure promises to provide an important tool for rigorous investigation of outcomes both in the ongoing outbreak and in future epidemics.

Indexed as

COVID-19Mobile ApplicationsContact TracingHumansPandemicsSARS-CoV-2

Identifiers

PMID35726090
PMCPMC13501915
OpenAlexW4283167029

What OpenQuestion holds

Textmetadata
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.