Evidence mapPaperPMID 33709945Full record

Observational studyJournal of medical Internet research2021

A Self-Assessment Web-Based App to Assess Trends of the COVID-19 Pandemic in France: Observational Study.

Fabrice Denis, Arnaud Fontanet, Yann-Mael Le Douarin, Florian Le Goff, Stephan Jeanneau, François-Xavier Lescure

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04331171 (Epidemiological Observation From a Smartphone Self-monitoring Application for Suspected COVID-19 Patients' Triage), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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.

NCT04331171 completednot on this map

Epidemiological Observation From a Smartphone Self-monitoring Application for Suspected COVID-19 Patients' Triage

Typeobservational_patient_registrySponsorWepromRan2020 to 2020Enrolled12,000,000ConditionsCOVID-19ArmsWeb application users
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
  6. Article
  7. Observational
  8. Article
  9. Review
  10. Observational
  11. Observational
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

6 authors at 4 institutions in 1 country.

Fabrice Denis *Institut Inter-régional de Cancérologie Jean Bernard, Le Mans, France.ORCID 0000-0002-2190-7782
Arnaud Fontanet *Emerging Diseases Epidemiology Unit, Institut Pasteur, Paris, France.ORCID 0000-0002-5239-6110
Yann-Mael Le Douarin *French Society of Digital Health, Paris, France.ORCID 0000-0001-9859-0042
Florian Le Goff *Kelindi, Lille, France.ORCID 0000-0001-9367-9769
Stephan Jeanneau *Adobis Group, Grenoble, France.ORCID 0000-0001-8889-1984
François-Xavier LescureAP-HP, Infectious and Tropical Diseases Department, Bichat-Claude Bernard University Hospital, Paris, France.ORCID 0000-0002-2828-125X
Centre Jean Bernard · FRInstitut Pasteur · FRUniversité Claude Bernard Lyon 1 · FRUniversité de Lille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe developed a self-assessment and participatory web-based triage app to assess the trends of the COVID-19 pandemic in France in March 2020.

objectiveWe compared daily large-scale RT-PCR test results to monitor recent reports of anosmia through a web-based app to assess the dynamics of emergency department visits, hospitalizations, and intensive care unit (ICU) admissions among individuals with COVID-19 in France.

methodsBetween March 21 and November 18, 2020, users of the maladiecoronavirus.fr self-triage app were asked questions about COVID-19 symptoms. Data on daily hospitalizations, large-scale positive results on RT-PCR tests, emergency department visits, and ICU admission of individuals with COVID-19 were compared to data on daily reports of anosmia on the app.

resultsAs of November 18, 2020, recent anosmia was reported 575,214 times from among approximately 13,000,000 responses. Daily anosmia reports during peak engagement with the app on September 16, 2020, were spatially correlated with the peak in daily COVID-19-related hospitalizations in November 2020 (Spearman rank correlation coefficient [ρ]=0.77; P<.001). This peak in daily anosmia reports was observed primarily among young adults (age range 18-40 years), being observed 49 days before the peak of hospitalizations that corresponded to the first wave of infections among the young population, followed by a peak in hospitalizations among older individuals (aged ≥50 years) in November 2020. The reduction in the daily reports of anosmia associated with the peaks in the number of cases preceded the reduction in daily hospitalizations by 10 and 9 days during the first and the second waves of infection, respectively, although the reduction in the positivity rates on RT-PCR tests preceded the reduction in daily hospitalizations by only 2 days during the second wave of infections.

conclusionsData on daily reports of anosmia collected through a nationwide, web-based self-assessment app can be a relevant tool to anticipate surges in outbreaks, hospitalizations, and ICU admission during the COVID-19 pandemic.

trial registrationClinicalTrials.gov NCT04331171; https://clinicaltrials.gov/ct2/show/NCT04331171.

Indexed as

InternetMobile ApplicationsSelf-AssessmentCOVID-19FranceHumansPandemicsSARS-CoV-2Triageappbig dataCOVID-19diagnosisdiagnostic testdigital healthFrancemobile phoneobservationalparticipatory appself-assessmentsurveillancetrendweb-based app

Identifiers

PMID33709945
PMCPMC7958347
OpenAlexW3135235310

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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 Socratic graph.