Published on in Vol 18, No 11 (2016): November

Web-Based Antismoking Advertising to Promote Smoking Cessation: A Randomized Controlled Trial

Web-Based Antismoking Advertising to Promote Smoking Cessation: A Randomized Controlled Trial

Web-Based Antismoking Advertising to Promote Smoking Cessation: A Randomized Controlled Trial

Journals

  1. Yom-Tov E, Shembekar J, Barclay S, Muennig P. The effectiveness of public health advertisements to promote health: a randomized-controlled trial on 794,000 participants. npj Digital Medicine 2018;1(1) View
  2. Yom-Tov E, Brunstein-Klomek A, Mandel O, Hadas A, Fennig S. Inducing Behavioral Change in Seekers of Pro-Anorexia Content Using Internet Advertisements: Randomized Controlled Trial. JMIR Mental Health 2018;5(1):e6 View
  3. Cruz T, Rose S, Lienemann B, Byron M, Meissner H, Baezconde-Garbanati L, Huang L, Carroll D, Soto C, Unger J. Pro-tobacco marketing and anti-tobacco campaigns aimed at vulnerable populations: A review of the literature. Tobacco Induced Diseases 2019;17(September) View
  4. Yom-Tov E. Predicting Drug Recalls from Internet Search Engine Queries These findings suggest that aggregated Internet search engine data can be used to facilitate in early warning of faulty batches of medicines.. IEEE Journal of Translational Engineering in Health and Medicine 2017:1 View
  5. Nitzburg G, Weber I, Yom-Tov E. Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis. Journal of Medical Internet Research 2019;21(5):e10946 View
  6. Rosenblum S, Yom-Tov E. Seeking Web-Based Information About Attention Deficit Hyperactivity Disorder: Where, What, and When. Journal of Medical Internet Research 2017;19(4):e126 View
  7. Cartocci G, Modica E, Rossi D, Inguscio B, Aricò P, Martinez Levy A, Mancini M, Cherubino P, Babiloni F. Antismoking Campaigns’ Perception and Gender Differences: A Comparison among EEG Indices. Computational Intelligence and Neuroscience 2019;2019:1 View
  8. Yom-Tov E. Screening for Cancer Using a Learning Internet Advertising System. ACM Transactions on Computing for Healthcare 2020;1(2):1 View
  9. Modica E, Rossi D, Cartocci G, Perrotta D, Di Feo P, Mancini M, Aricò P, Inguscio B, Babiloni F. Neurophysiological Profile of Antismoking Campaigns. Computational Intelligence and Neuroscience 2018;2018:1 View
  10. Varshney N. Cancer Research UK’S obesity campaign in 2018 and 2019: effective health promotion or perpetuating the stigmatisation of obesity?. Journal of Medical Ethics 2021;47(11):761 View
  11. Krupenkin M, Yom-Tov E, Rothschild D. Vaccine advertising: preach to the converted or to the unaware?. npj Digital Medicine 2021;4(1) View
  12. Ferreira G, Zadro J, O'Keeffe M, Chen M, Gao Y, Hu Z, Zhang Z, Harris I, Maher C. A content analysis of online information about the benefits and harms of spine surgery. Brazilian Journal of Physical Therapy 2022;26(2):100398 View
  13. Pattison A, Reinfelde M, Chang H, Chowdhury M, Cohen E, Malahy S, O’Connor K, Sellami M, Smith K, Stanton C, Voets B, Wei H. Finding the facts in an infodemic: framing effective COVID-19 messages to connect people to authoritative content. BMJ Global Health 2022;7(2):e007582 View