Evidence map›Paper›PMID 34310336›Full record

ArticleJMIR research protocols2021

The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study.

Alexis L Beatty, Noah D Peyser, Xochitl E Butcher, Thomas W Carton, Jeffrey E Olgin, Mark J Pletcher, Gregory M Marcus

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
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  7. Chronic low back pain causal risk factors identified by Mendelian randomization: a cross-sectional cohort analysis.The spine journal : official journal of the North American Spine Society · 2025
    Observational
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  15. Which decisions affect cohort distribution in COVID-19 data analytics?AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024
    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

7 authors at 2 institutions in 1 country.

Alexis L BeattyDivision of Cardiology, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-8405-7386
Noah D PeyserDivision of Cardiology, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-4529-8325
Xochitl E ButcherDivision of Cardiology, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-4001-9633
Thomas W CartonLouisiana Public Health Institute, New Orleans, LA, United States.ORCID https://orcid.org/0000-0003-0059-1990
Jeffrey E OlginDivision of Cardiology, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-1684-9327
Mark J PletcherDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-6966-1312
Gregory M MarcusDivision of Cardiology, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-5197-7696
University of California, San Francisco · USLouisiana Public Health Institute · US

Funding

The Health ePeople Resource for Mobilized ResearchU2CEB021881 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARCUS, GREGORY M, OLGIN, JEFFREY E · 2015 to 2020
$10.3M
DIGITAL HEALTH SOLUTIONS FOR COVID-19: COVIDSEEKER AND COVID-19 CITIZEN SCIENCE75N91020C00039 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARCUS, GREGORY · 2020 to 2020
$460k
NCI NIH HHS 75N91020C00039NIBIB NIH HHS U2C EB021881
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has catalyzed a global public response and innovation in clinical study methods.

objectiveThe COVID-19 Citizen Science study was designed to generate knowledge about participant-reported COVID-19 symptoms, behaviors, and disease occurrence.

methodsCOVID-19 Citizen Science is a longitudinal cohort study launched on March 26, 2020, on the Eureka Research Platform. This study illustrates important advances in digital clinical studies, including entirely digital study participation, targeted recruitment strategies, electronic consent, recurrent and time-updated assessments, integration with smartphone-based measurements, analytics for recruitment and engagement, connection with partner studies, novel engagement strategies such as participant-proposed questions, and feedback in the form of real-time results to participants.

resultsAs of February 2021, the study has enrolled over 50,000 participants. Study enrollment and participation are ongoing. Over the lifetime of the study, an average of 59% of participants have completed at least one survey in the past 4 weeks.

conclusionsInsights about COVID-19 symptoms, behaviors, and disease occurrence can be drawn through digital clinical studies. Continued innovation in digital clinical study methods represents the future of clinical research. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/28169.

Indexed as

COVID-19digital healthdigital technologyelectronic health recordsmHealthmobile appparticipant engagement

Identifiers

PMID34310336
PMCPMC8407439
OpenAlexW3169783380

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.