ArticleThe Lancet. Digital health2020
Crowdsourcing data to mitigate epidemics.
Article in The Lancet. Digital health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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
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Who cites it
17 citing papers in PubMed.
- A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health.Journal of medical Internet research · 2024Article
- Syndromic surveillance performance in Canada throughout the COVID-19 pandemic, March 1, 2020 to March 4, 2023.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2023Article
- Early-stage spatial disease surveillance of novel SARS-CoV-2 variants of concern in Germany with crowdsourced data.Scientific reports · 2022Article
- Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study.JMIR medical informatics · 2021Review
- Crowdsourced disease surveillance success story: The FluWatchers program.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2021Article
- Information seeking behavior and COVID-19 pandemic: A snapshot of young, middle aged and senior individuals in Greece.International journal of medical informatics · 2021Article
- Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies.NPJ digital medicine · 2021Article
- The shortage of hospital beds for COVID-19 and non-COVID-19 patients during the lockdown of Wuhan, China.Annals of translational medicine · 2021Article
- Extracting Medical Information from Paper COVID-19 Assessment Forms.Applied clinical informatics · 2021Article
- Examining risk and crisis communications of government agencies and stakeholders during early-stages of COVID-19 on Twitter.Computers in human behavior · 2021Article
- Fearing fear itself: Crowdsourced longitudinal data on Covid-19-related fear in Sweden.PloS one · 2021Article
- Using mHealth to Increase the Reach of Local Guidance to Health Professionals as Part of an Institutional Response Plan to the COVID-19 Outbreak: Usage Analysis Study.JMIR mHealth and uHealth · 2020Article
- Impact of National Containment Measures on Decelerating the Increase in Daily New Cases of COVID-19 in 54 Countries and 4 Epicenters of the Pandemic: Comparative Observational Study.Journal of medical Internet research · 2020Observational
- Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study.Journal of medical Internet research · 2020Article
- Evaluation of the Secondary Transmission Pattern and Epidemic Prediction of COVID-19 in the Four Metropolitan Areas of China.Frontiers in medicine · 2020Article
- Digital Health Solutions for Mental Health Disorders During COVID-19.Frontiers in psychiatry · 2020Article
- A case-based reasoning framework for early detection and diagnosis of novel coronavirus.Informatics in medicine unlocked · 2020Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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.