This paper is in the following e-collection/theme issue:

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369) Smoking Cessation (566)

Published on in Vol 2, No 1 (2016): Jan-Jun

Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout

Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout

Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout

Authors of this article:

John W Ayers1 Author Orcid Image ;   J Lee Westmaas2 Author Orcid Image ;   Eric C Leas3 Author Orcid Image ;   Adrian Benton4 Author Orcid Image ;   Yunqi Chen5 Author Orcid Image ;   Mark Dredze4 Author Orcid Image ;   Benjamin M Althouse6, 7 Author Orcid Image
Article Authors Cited by (49) Tweetations (15) Metrics

Journals

  1. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  2. Hao Z, Liu M, Ge X. Evaluating the impact of health awareness events on Google search frequency. Preventive Medicine Reports 2019;15:100887 View
  3. Leas E, Althouse B, Dredze M, Obradovich N, Fowler J, Noar S, Allem J, Ayers J, Olson D. Big Data Sensors of Organic Advocacy: The Case of Leonardo DiCaprio and Climate Change. PLOS ONE 2016;11(8):e0159885 View
  4. Estrada-Portales I. Why Media matters in healthcare advocacy and education†. Journal of Communication in Healthcare 2016;9(2):75 View
  5. Saha K, Weber I, Birnbaum M, De Choudhury M. Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates. Journal of Medical Internet Research 2017;19(5):e156 View
  6. Allem J, Ferrara E, Uppu S, Cruz T, Unger J. E-Cigarette Surveillance With Social Media Data: Social Bots, Emerging Topics, and Trends. JMIR Public Health and Surveillance 2017;3(4):e98 View
  7. Bragazzi N, Dini G, Toletone A, Brigo F, Durando P, Olson D. Leveraging Big Data for Exploring Occupational Diseases-Related Interest at the Level of Scientific Community, Media Coverage and Novel Data Streams: The Example of Silicosis as a Pilot Study. PLOS ONE 2016;11(11):e0166051 View
  8. Kamiński M, Łoniewski I, Marlicz W. “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 2020;17(3):954 View
  9. Escobedo P, Cruz T, Tsai K, Allem J, Soto D, Kirkpatrick M, Pattarroyo M, Unger J. Monitoring Tobacco Brand Websites to Understand Marketing Strategies Aimed at Tobacco Product Users and Potential Users. Nicotine & Tobacco Research 2018;20(11):1393 View
  10. Tabuchi T, Fukui K, Gallus S. Tobacco Price Increases and Population Interest in Smoking Cessation in Japan Between 2004 and 2016: A Google Trends Analysis. Nicotine & Tobacco Research 2019;21(4):475 View
  11. Schlichthorst M, King K, Turnure J, Sukunesan S, Phelps A, Pirkis J. Influencing the Conversation About Masculinity and Suicide: Evaluation of the Man Up Multimedia Campaign Using Twitter Data. JMIR Mental Health 2018;5(1):e14 View
  12. Zhao C, Yang Y, Wu S, Wu W, Xue H, An K, Zhen Q. Search trends and prediction of human brucellosis using Baidu index data from 2011 to 2018 in China. Scientific Reports 2020;10(1) View
  13. Kamiński M, Łoniewski I, Marlicz W. ‘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 2020;13 View
  14. Kamiński M, Łoniewski I, Misera A, Marlicz W. 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 2019;16(23):4591 View
  15. Allem J, Leas E, Caputi T, Dredze M, Althouse B, Noar S, Ayers J. The Charlie Sheen Effect on Rapid In-home Human Immunodeficiency Virus Test Sales. Prevention Science 2017;18(5):541 View
  16. Ayers J, Dredze M, Leas E, Caputi T, Allem J, Cohen J, Sanchez Z. Next generation media monitoring: Global coverage of electronic nicotine delivery systems (electronic cigarettes) on Bing, Google and Twitter, 2013-2018. PLOS ONE 2018;13(11):e0205822 View
  17. Arendt F, Scherr S. Investigating an Issue–Attention–Action Cycle: A Case Study on the Chronology of Media Attention, Public Attention, and Actual Vaccination Behavior during the 2019 Measles Outbreak in Austria. Journal of Health Communication 2019;24(7-8):654 View
  18. Lee E, Yee A. Toward Data Sense-Making in Digital Health Communication Research: Why Theory Matters in the Age of Big Data. Frontiers in Communication 2020;5 View
  19. Vayena E, Dzenowagis J, Brownstein J, Sheikh A. Policy implications of big data in the health sector. Bulletin of the World Health Organization 2018;96(1):66 View
  20. Caputi T, Leas E, Dredze M, Cohen J, Ayers J, Shi Y. They’re heating up: Internet search query trends reveal significant public interest in heat-not-burn tobacco products. PLOS ONE 2017;12(10):e0185735 View
  21. Lara Ródenas M. El voto vigilado. Influencia y control electoral en las hermandades de Huelva durante el Antiguo Régimen. Hispania Sacra 2019;71(144):521 View
  22. Bragazzi N, Alicino C, Trucchi C, Paganino C, Barberis I, Martini M, Sticchi L, Trinka E, Brigo F, Ansaldi F, Icardi G, Orsi A, Olson D. Global reaction to the recent outbreaks of Zika virus: Insights from a Big Data analysis. PLOS ONE 2017;12(9):e0185263 View
  23. Ayers J, Leas E, Allem J, Benton A, Dredze M, Althouse B, Cruz T, Unger J, Olson D. Why do people use electronic nicotine delivery systems (electronic cigarettes)? A content analysis of Twitter, 2012-2015. PLOS ONE 2017;12(3):e0170702 View
  24. Tangherlini T, Roychowdhury V, Glenn B, Crespi C, Bandari R, Wadia A, Falahi M, Ebrahimzadeh E, Bastani R. “Mommy Blogs” and the Vaccination Exemption Narrative: Results From A Machine-Learning Approach for Story Aggregation on Parenting Social Media Sites. JMIR Public Health and Surveillance 2016;2(2):e166 View
  25. Bartholomew L, Bishop L, Brown C, Murphy M, Samuels T. Caribbean Wellness Day: promoting a region-wide day of action. Revista Panamericana de Salud Pública 2018;42:1 View
  26. Tana J, Kettunen J, Eirola E, Paakkonen H. Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data. JMIR Mental Health 2018;5(2):e43 View
  27. BAYIN DONAR G. Google arama hacmi verileri ile Türkiye’de hastalık farkındalık günlerinin etkinliğinin değerlendirilmesi. Mersin Üniversitesi Sağlık Bilimleri Dergisi 2020;13(2):177 View
  28. Odlum M, Yoon S, Broadwell P, Brewer R, Kuang D. 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 2018;4(4):e10262 View
  29. Paul M, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1 View
  30. Al Bawab A, AlQahtani F, McElnay J. Health Care Apps Reported in Newspapers: Content Analysis. JMIR mHealth and uHealth 2018;6(10):e10237 View
  31. Kamiński M, Borger M, Prymas P, Muth A, Stachowski A, Łoniewski I, Marlicz W. Analysis of Answers to Queries among Anonymous Users with Gastroenterological Problems on an Internet Forum. International Journal of Environmental Research and Public Health 2020;17(3):1042 View
  32. Rains S. Big Data, Computational Social Science, and Health Communication: A Review and Agenda for Advancing Theory. Health Communication 2020;35(1):26 View
  33. Vernon E, Gottesman Z, Warren R. The value of health awareness days, weeks and months: A systematic review. Social Science & Medicine 2021;268:113553 View
  34. Leas E, Nobles A, Caputi T, Dredze M, Zhu S, Cohen J, Ayers J. News coverage of the E-cigarette, or Vaping, product use Associated Lung Injury (EVALI) outbreak and internet searches for vaping cessation. Tobacco Control 2021;30(5):578 View
  35. Whiteman A, Wejnert C, Morris E, Burnett J. Using Search Engine Data to Explore Interest in PrEP and HIV Testing in the United States. AIDS and Behavior 2021;25(3):983 View
  36. Lan R, Catherine J, Chossegros C, Campana F, Vergnes J, Had-Saïd M. Temporal association between the introduction of public health programs and interest in oral cancers on the internet in the European Union. Oral Oncology 2021;119:105250 View
  37. Naik H, Johnson M, Johnson M. Internet Interest in Colon Cancer Following the Death of Chadwick Boseman: Infoveillance Study. Journal of Medical Internet Research 2021;23(6):e27052 View
  38. Lan R, Campana F, Tardivo D, Catherine J, Vergnes J, Hadj-Saïd M. Relationship between internet research data of oral neoplasms and public health programs in the European Union. BMC Oral Health 2021;21(1) View
  39. Hartwell M, Hendrix-Dicken A, Sajjadi N, Bloom M, Gooch T, Conway L, Baxter M. Trends in public interest in child abuse in the United States: An infodemiology study of Google Trends from 2004 to 2022. Child Abuse & Neglect 2022;134:105868 View
  40. Faus M, Alonso F, Javadinejad A, Useche S. Are social networks effective in promoting healthy behaviors? A systematic review of evaluations of public health campaigns broadcast on Twitter. Frontiers in Public Health 2022;10 View
  41. Westmaas J, Masters M, Bandi P, Majmundar A, Asare S, Diver W. COVID-19 and Tweets About Quitting Cigarette Smoking: Topic Model Analysis of Twitter Posts 2018-2020. JMIR Infodemiology 2022;2(1):e36215 View
  42. Syafhan N, Chen G, Parsons C, McElnay J. Potential of UK and US newspapers for shaping patients' knowledge and perceptions about antidiabetic medicines: a content analysis. Journal of Pharmaceutical Policy and Practice 2022;15(1) View
  43. Lenzi F, Iazzetta F. Mapping obesity and diabetes’ representation on Twitter: the case of Italy. Frontiers in Sociology 2023;8 View
  44. Wang Z, He J, Jin B, Zhang L, Han C, Wang M, Wang H, An S, Zhao M, Zhen Q, Tiejun S, Zhang X. Using Baidu Index Data to Improve Chickenpox Surveillance in Yunnan, China: Infodemiology Study. Journal of Medical Internet Research 2023;25:e44186 View
  45. Ayers J, Poliak A, Beros N, Paul M, Dredze M, Hogarth M, Smith D. A Digital Cohort Approach for Social Media Monitoring: A Cohort Study of People Who Vape E-Cigarettes. American Journal of Preventive Medicine 2024;67(1):147 View
  46. Jagomast T, Finck J, Tangemann-Münstedt I, Auth K, Drömann D, Franzen K. 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 2024;16:e57718 View

Books/Policy Documents

  1. Hocke-Bolte Z, Peters B, Haunit T. Forschungsmethoden in der Gesundheitsförderung und Prävention. View
  2. Roy R, Malloy J. Health Promotion - Principles and Approaches. View