ArticleScience (New York, N.Y.)2020
Rapid implementation of mobile technology for real-time epidemiology of COVID-19.
Article in Science (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 205 papers, 6 of them syntheses that pooled 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.
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.
Use of the Opal Patient Portal Application for Daily Follow-up of People at Home With COVID-19: The Opal-COVID Feasibility Study
Clinical Study of Pressure Injury Wound Prediction Model Using a Mobile Application System for Caring and Managing
Who cites it
205 citing papers in PubMed, 6 syntheses or guidelines pooled it, 407 citations in OpenAlex.
- A Systematic Review of Health Management Mobile Applications in COVID-19 Pandemic: Features, Advantages, and Disadvantages.BioMed research international · 2024Pooled it
- Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2021Pooled it
- COVID-19 Mobile Apps: A Systematic Review of the Literature.Journal of medical Internet research · 2020Pooled it
- Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature.Journal of medical Internet research · 2020Pooled it
- A Systematic Review of Smartphone Applications Available for Corona Virus Disease 2019 (COVID19) and the Assessment of their Quality Using the Mobile Application Rating Scale (MARS).Journal of medical systems · 2020Pooled it
- Clinical and Prodromal Ocular Symptoms in Coronavirus Disease: A Systematic Review and Meta-Analysis.Investigative ophthalmology & visual science · 2020Pooled it
- A 40-week phase 2B randomized, multicenter, double-blind, placebo-controlled study evaluating the safety and efficacy of memantine in amyotrophic lateral sclerosis.Muscle & nerve · 2025Trial
- Characterization of Influenza-Like Illness Burden Using Commercial Wearable Sensor Data and Patient-Reported Outcomes: Mixed Methods Cohort Study.Journal of medical Internet research · 2023Trial
- Epidemiology of SARS-CoV-2 Infection in Italy Using Real-World Data: Methodology and Cohort Description of the Second Phase of Web-Based EPICOVID19 Study.International journal of environmental research and public health · 2022Trial
- Persistent Sleep Disturbance Following Pandemic Lockdowns: Longitudinal Findings From the UK COVID-19 Symptom Study Biobank.Journal of sleep research · 2026Article
- Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study.Journal of medical Internet research · 2026Observational
- Variable selection for prediction models of Omicron infection: Insights from two population-based cohort studies.Diagnostic and prognostic research · 2026Article
- Labour-type physical activity, metabolic dysregulation, and hypertension in rural older adults: rethinking work, exercise, and health in a cold-climate agricultural community.Frontiers in public health · 2026Article
- Health in a Digital Age: From Determinants to Dynamic Systems.Health data science · 2026Article
- Pandemic-disordered sleep: longer illness and more fatigue but little SARS-CoV-2 effect.ERJ open research · 2025Article
- From innovation to integration: a global mixed-methods study of VR, metaverse, and 3D simulation in healthcare training and clinical setting.Frontiers in digital health · 2025Article
- The Pandemic Journaling Project: A new dataset of first-person accounts of the COVID-19 pandemic.PloS one · 2025Article
- Vaping habits and respiratory symptoms using a smartphone app platform.BMC public health · 2024Article
- Participatory Disease Surveillance for the Early Detection of Cholera-Like Diarrheal Disease Outbreaks in Rural Villages in Malawi: Prospective Cohort Study.JMIR public health and surveillance · 2024Article
- Is joint hypermobility linked to self-reported non-recovery from COVID-19? Case-control evidence from the British COVID Symptom Study Biobank.BMJ public health · 2024Article
145 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 3 countries.
Funding
Abstract
The rapid pace of the coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents challenges to the robust collection of population-scale data to address this global health crisis. We established the COronavirus Pandemic Epidemiology (COPE) Consortium to unite scientists with expertise in big data research and epidemiology to develop the COVID Symptom Study, previously known as the COVID Symptom Tracker, mobile application. This application-which offers data on risk factors, predictive symptoms, clinical outcomes, and geographical hotspots-was launched in the United Kingdom on 24 March 2020 and the United States on 29 March 2020 and has garnered more than 2.8 million users as of 2 May 2020. Our initiative offers a proof of concept for the repurposing of existing approaches to enable rapidly scalable epidemiologic data collection and analysis, which is critical for a data-driven response to this public health challenge.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.