ArticleJournal of medical Internet research2014
Guess who's not coming to dinner? Evaluating online restaurant reservations for disease surveillance.
Article in Journal of medical Internet research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 34 citations in OpenAlex.
- No-Show Rates in an Academic Otolaryngology Practice Before and During the COVID-19 Pandemic.Cureus · 2024Article
- Influenza surveillance systems using traditional and alternative sources of data: A scoping review.Influenza and other respiratory viruses · 2022Article
- Article
- Predicting seasonal influenza using supermarket retail records.PLoS computational biology · 2021Article
- Survey data and human computation for improved flu tracking.Nature communications · 2021Article
- Social Media- and Internet-Based Disease Surveillance for Public Health.Annual review of public health · 2020Review
- Use of Social Media, Search Queries, and Demographic Data to Assess Obesity Prevalence in the United States.Palgrave communications · 2019Article
- The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations.Child abuse & neglect · 2018Article
- Digital Epidemiology: Use of Digital Data Collected for Non-epidemiological Purposes in Epidemiological Studies.Healthcare informatics research · 2018Review
- Self-Swabbing for Virological Confirmation of Influenza-Like Illness Among an Internet-Based Cohort in the UK During the 2014-2015 Flu Season: Pilot Study.Journal of medical Internet research · 2018Article
- Forecasting influenza-like illness dynamics for military populations using neural networks and social media.PloS one · 2017Article
- Mind the Scales: Harnessing Spatial Big Data for Infectious Disease Surveillance and Inference.The Journal of infectious diseases · 2016Review
- Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan.Journal of medical Internet research · 2015Article
- Characterizing Sleep Issues Using Twitter.Journal of medical Internet research · 2015Article
- Monitoring disease trends using hospital traffic data from high resolution satellite imagery: a feasibility study.Scientific reports · 2015Article
- Enhancing disease surveillance with novel data streams: challenges and opportunities.EPJ data science · 2015Article
- Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review.PloS one · 2015Article
- The Long Way From Government Open Data to Mobile Health Apps: Overcoming Institutional Barriers in the US Federal Government.JMIR mHealth and uHealth · 2014Article
- Characterizing Influenza surveillance systems performance: application of a Bayesian hierarchical statistical model to Hong Kong surveillance data.BMC public health · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundAlternative data sources are used increasingly to augment traditional public health surveillance systems. Examples include over-the-counter medication sales and school absenteeism.
objectiveWe sought to determine if an increase in restaurant table availabilities was associated with an increase in disease incidence, specifically influenza-like illness (ILI).
methodsRestaurant table availability was monitored using OpenTable, an online restaurant table reservation site. A daily search was performed for restaurants with available tables for 2 at the hour and at half past the hour for 22 distinct times: between 11:00 am-3:30 pm for lunch and between 6:00-11:30 PM for dinner. In the United States, we examined table availability for restaurants in Boston, Atlanta, Baltimore, and Miami. For Mexico, we studied table availabilities in Cancun, Mexico City, Puebla, Monterrey, and Guadalajara. Time series of restaurant use was compared with Google Flu Trends and ILI at the state and national levels for the United States and Mexico using the cross-correlation function.
resultsDifferences in restaurant use were observed across sampling times and regions. We also noted similarities in time series trends between data on influenza activity and restaurant use. In some settings, significant correlations greater than 70% were noted between data on restaurant use and ILI trends.
conclusionsThis study introduces and demonstrates the potential value of restaurant use data for event surveillance.
Indexed as
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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.