ArticleJMIR public health and surveillance
Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout.
Article in JMIR public health and surveillance. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Are social networks effective in promoting healthy behaviors? A systematic review of evaluations of public health campaigns broadcast on Twitter.Frontiers in public health · 2022Pooled it
- Google Trends Analysis of Interest in Smoking Cessation, Treatment Options, and Electronic Nicotine Delivery Systems Following Tax Increase and Introduction of Pictorial Health Warnings in Germany.Tobacco use insights · 2025Article
- Google Trends Assessment of Keywords Related to Smoking and Smoking Cessation During the COVID-19 Pandemic in 4 European Countries: Retrospective Analysis.Online journal of public health informatics · 2024Article
- Using Baidu Index Data to Improve Chickenpox Surveillance in Yunnan, China: Infodemiology Study.Journal of medical Internet research · 2023Article
- Mapping obesity and diabetes' representation on Twitter: the case of Italy.Frontiers in sociology · 2023Article
- Potential of UK and US newspapers for shaping patients' knowledge and perceptions about antidiabetic medicines: a content analysis.Journal of pharmaceutical policy and practice · 2022Article
- Relationship between internet research data of oral neoplasms and public health programs in the European Union.BMC oral health · 2021Article
- #MeToo and Google Inquiries Into Sexual Violence: A Hashtag Campaign Can Sustain Information Seeking.Journal of interpersonal violence · 2021Article
- News coverage of the E-cigarette, or Vaping, product use Associated Lung Injury (EVALI) outbreak and internet searches for vaping cessation.Tobacco control · 2021Article
- Internet Interest in Colon Cancer Following the Death of Chadwick Boseman: Infoveillance Study.Journal of medical Internet research · 2021Article
- Infodemiology and Infoveillance: Scoping Review.Journal of medical Internet research · 2020Article
- Search trends and prediction of human brucellosis using Baidu index data from 2011 to 2018 in China.Scientific reports · 2020Article
- Analysis of Answers to Queries among Anonymous Users with Gastroenterological Problems on an Internet Forum.International journal of environmental research and public health · 2020Article
- "Dr. Google, I am in Pain"-Global Internet Searches Associated with Pain: A Retrospective Analysis of Google Trends Data.International journal of environmental research and public health · 2020Article
- 'Dr. Google, I have a stomach ache' - seasonal variations in abdominal pain: a 4-year retrospective data analysis from Google Ads keywords planner.Therapeutic advances in gastroenterology · 2020Article
- Heartburn-Related Internet Searches and Trends of Interest across Six Western Countries: A Four-Year Retrospective Analysis Using Google Ads Keyword Planner.International journal of environmental research and public health · 2019Article
- Evaluating the impact of health awareness events on Google search frequency.Preventive medicine reports · 2019Article
- How Twitter Can Support the HIV/AIDS Response to Achieve the 2030 Eradication Goal: In-Depth Thematic Analysis of World AIDS Day Tweets.JMIR public health and surveillance · 2018Article
- Health Care Apps Reported in Newspapers: Content Analysis.JMIR mHealth and uHealth · 2018Article
- Monitoring Tobacco Brand Websites to Understand Marketing Strategies Aimed at Tobacco Product Users and Potential Users.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundAwareness campaigns are ubiquitous, but little is known about their potential effectiveness because traditional evaluations are often unfeasible. For 40 years, the "Great American Smokeout" (GASO) has encouraged media coverage and popular engagement with smoking cessation on the third Thursday of November as the nation's longest running awareness campaign.
objectiveWe proposed a novel evaluation framework for assessing awareness campaigns using the GASO as a case study by observing cessation-related news reports and Twitter postings, and cessation-related help seeking via Google, Wikipedia, and government-sponsored quitlines.
methodsTime trends (2009-2014) were analyzed using a quasi-experimental design to isolate spikes during the GASO by comparing observed outcomes on the GASO day with the simulated counterfactual had the GASO not occurred.
resultsCessation-related news typically increased by 61% (95% CI 35-87) and tweets by 13% (95% CI -21 to 48) during the GASO compared with what was expected had the GASO not occurred. Cessation-related Google searches increased by 25% (95% CI 10-40), Wikipedia page visits by 22% (95% CI -26 to 67), and quitline calls by 42% (95% CI 19-64). Cessation-related news media positively coincided with cessation tweets, Internet searches, and Wikipedia visits; for example, a 50% increase in news for any year predicted a 28% (95% CI -2 to 59) increase in tweets for the same year. Increases on the day of the GASO rivaled about two-thirds of a typical New Year's Day-the day that is assumed to see the greatest increases in cessation-related activity. In practical terms, there were about 61,000 more instances of help seeking on Google, Wikipedia, or quitlines on GASO each year than would normally be expected.
conclusionsThese findings provide actionable intelligence to improve the GASO and model how to rapidly, cost-effectively, and efficiently evaluate hundreds of awareness campaigns, nearly all for the first time.
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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 OpenQuestion graph.