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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMIR Theme Issue: COVID-19 Special Issue (2452)

Published on in Vol 7, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24859, first published .
Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data

Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data

Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data

Authors of this article:

Yankun Gao1 Author Orcid Image ;   Zidian Xie1 Author Orcid Image ;   Dongmei Li1 Author Orcid Image
Article Authors Cited by (16) Tweetations (1) Metrics

Journals

  1. Xu W, Tshimula J, Dubé È, Graham J, Greyson D, MacDonald N, Meyer S. Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach. JMIR Infodemiology 2022;2(2):e41198 View
  2. Lyu J, Luli G, Ling P, Doran N. Vaping discussion in the COVID-19 pandemic: An observational study using Twitter data. PLOS ONE 2021;16(12):e0260290 View
  3. Golder S, Jefferson L, McHugh E, Essex H, Heathcote C, Castro Avila A, Dale V, Van Der Feltz‐Cornelis C, Bloor K. General practitioners' wellbeing during the COVID‐19 pandemic: Novel methods with social media data. Health Information & Libraries Journal 2023;40(4):400 View
  4. Zou C, Wang X, Xie Z, Li D. Perceptions of the IQOS Heated Tobacco Product on Twitter in the United States. Frontiers in Communication 2021;6 View
  5. Shao Y, Zou J, Xie Z, Mayne R, Ossip D, Rahman I, McIntosh S, Li D. Perceptions of Oral Nicotine Pouches on Reddit: Observational Study. Journal of Medical Internet Research 2022;24(7):e37071 View
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  7. Gao Y, Xie Z, Li D. Investigating the Impact of the New York State Flavor Ban on e-Cigarette–Related Discussions on Twitter: Observational Study. JMIR Public Health and Surveillance 2022;8(7):e34114 View
  8. Cai X, Zhao X, Rossheim M, Xue H. Vaping and COVID-19 Risk: Perceived link and its correlates among at-risk adolescents. Preventive Medicine Reports 2021;24:101598 View
  9. Ntompras C, Drosatos G, Kaldoudi E. A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic. Journal of Computational Social Science 2022;5(1):687 View
  10. Kelly B, Pawson M, Vuolo M. Social Network Ties and Responses to COVID-19 Among E-Cigarette Users. Journal of Drug Issues 2023;53(1):145 View
  11. Gallus S, Stival C, Carreras G, Gorini G, Amerio A, McKee M, Odone A, van den Brandt P, Spizzichino L, Pacifici R, Lugo A. Use of electronic cigarettes and heated tobacco products during the Covid-19 pandemic. Scientific Reports 2022;12(1) View
  12. Majmundar A, Allem J, Unger J, Cruz T. Vaping and COVID-19: Insights for Public Health and Clinical Care from Twitter. International Journal of Environmental Research and Public Health 2021;18(21):11231 View
  13. Sidani J, Hoffman B, Colditz J, Wolynn R, Hsiao L, Chu K, Rose J, Shensa A, Davis E, Primack B. Discussions and Misinformation About Electronic Nicotine Delivery Systems and COVID-19: Qualitative Analysis of Twitter Content. JMIR Formative Research 2022;6(4):e26335 View
  14. Peschke L, Gyftopoulos S, Kapusuzoğlu A, Folkvord F, Gümüş Ağca Y, Kaldoudi E, Drosatos G, Ceylan N, Pecchia L, Güneş Peschke S. Practices of Knowledge Exchange in the Context of the COVID-19 Pandemic. Journal of the Knowledge Economy 2023;15(3):12881 View
  15. Malik I, Raza M, Hadi N, Khan M, Hameed F. Social commerce constructs and purchase intention on social commerce sites: investigating the role of affective and cognitive attitudes in managing digital marketing challenges. Management & Marketing 2023;18(s1):474 View
  16. C. P, P. M. D. An Efficient CSPK-FCM Explainable Artificial Intelligence Model on COVID-19 Data to Predict the Emotion Using Topic Modeling. Journal of Advances in Information Technology 2023;14(6):1390 View