Discussions and Misinformation About Electronic Nicotine Delivery Systems and COVID-19: Qualitative Analysis of Twitter Content

被引:7
作者
Sidani, Jaime E. [1 ]
Hoffman, Beth [1 ]
Colditz, Jason B. [2 ]
Wolynn, Riley [3 ]
Hsiao, Lily [3 ]
Chu, Kar-Hai [1 ]
Rose, Jason J. [4 ]
Shensa, Ariel [5 ]
Davis, Esa [2 ]
Primack, Brian [6 ]
机构
[1] Univ Pittsburgh, Ctr Social Dynam & Community Hlth, Sch Publ Hlth, Dept Behav & Community Hlth Sci, 130 DeSoto St, Pittsburgh, PA 15261 USA
[2] Univ Pittsburgh, Sch Med, Div Gen Internal Med, Pittsburgh, PA 15261 USA
[3] Univ Pittsburgh, Kenneth P Dietrich Sch Arts & Sci, Pittsburgh, PA 15261 USA
[4] Univ Pittsburgh, Sch Med, Div Pulm Allergy & Crit Care Med, Pittsburgh, PA 15261 USA
[5] Duquesne Univ, John G Rangos Sr Sch Hlth Sci, Dept Hlth Adm & Publ Hlth, Pittsburgh, PA 15219 USA
[6] Univ Arkansas, Coll Educ & Hlth Profess, Fayetteville, AZ USA
关键词
COVID-19; coronavirus; e-cigarette; electronic nicotine delivery systems; Twitter; social media; misinformation; discussion; public health; communication; concern; severity; conspiracy; PUBLIC-HEALTH; AGREEMENT; CIGARETTE;
D O I
10.2196/26335
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Misinformation and conspiracy theories related to COVID-19 and electronic nicotine delivery systems (ENDS) are increasing. Some of this may stem from early reports suggesting a lower risk of severe COVID-19 in nicotine users. Additionally, a common conspiracy is that the e-cigarette or vaping product use-associated lung injury (EVALI) outbreak of 2019 was actually an early presentation of COVID-19. This may have important public health ramifications for both COVID-19 control and ENDS use. Objective: Twitter is an ideal tool for analyzing real-time public discussions related to both ENDS and COVID-19. This study seeks to collect and classify Twitter messages ("tweets") related to ENDS and COVID-19 to inform public health messaging. Methods: Approximately 2.1 million tweets matching ENDS-related keywords were collected from March 1, 2020, through June 30, 2020, and were then filtered for COVID-19-related keywords, resulting in 67,321 original tweets. A 5% (n=3366) subsample was obtained for human coding using a systematically developed codebook. Tweets were coded for relevance to the topic and four overarching categories. Results: A total of 1930 (57.3%) tweets were coded as relevant to the research topic. Half (n=1008, 52.2%) of these discussed a perceived association between ENDS use and COVID-19 susceptibility or severity, with 42.4% (n=818) suggesting that ENDS use is associated with worse COVID-19 symptoms. One-quarter (n=479, 24.8%) of tweets discussed the perceived similarity/dissimilarity of COVID-19 and EVALI, and 13.8% (n=266) discussed ENDS use behavior. Misinformation and conspiracy theories were present throughout all coding categories. Conclusions: Discussions about ENDS use and COVID-19 on Twitter frequently highlight concerns about the susceptibility and severity of COVID-19 for ENDS users; however, many contain misinformation and conspiracy theories. Public health messaging should capitalize on these concerns and amplify accurate Twitter messaging.
引用
收藏
页数:9
相关论文
共 36 条
[21]   MEASUREMENT OF OBSERVER AGREEMENT FOR CATEGORICAL DATA [J].
LANDIS, JR ;
KOCH, GG .
BIOMETRICS, 1977, 33 (01) :159-174
[22]   Methods for Coding Tobacco-Related Twitter Data: A Systematic Review [J].
Lienemann, Brianna A. ;
Unger, Jennifer B. ;
Cruz, Tess Boley ;
Chu, Kar-Hai .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2017, 19 (03)
[23]   Public Health Concerns and Unsubstantiated Claims at the Intersection of Vaping and COVID-19 [J].
Majmundar, Anuja ;
Allem, Jon-Patrick ;
Cruz, Tess Boley ;
Unger, Jennifer B. .
NICOTINE & TOBACCO RESEARCH, 2020, 22 (09) :1667-1668
[24]   "Okay, We Get It. You Vape": An Analysis of Geocoded Content, Context, and Sentiment regarding E-Cigarettes on Twitter [J].
Martinez, Lourdes S. ;
Hughes, Sharon ;
Walsh-Buhi, Eric R. ;
Tsou, Ming-Hsiang .
JOURNAL OF HEALTH COMMUNICATION, 2018, 23 (06) :550-562
[25]  
McKay Hollie, 2020, Fox News
[26]   Care for Critically Ill Patients With COVID-19 [J].
Murthy, Srinivas ;
Gomersall, Charles D. ;
Fowler, Robert A. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2020, 323 (15) :1499-1500
[27]  
Norden M.J., 2020, MEDRXIV, V2020, DOI [10.1101/2020.06.12.20129825, DOI 10.1101/2020.06.12.20129825]
[28]   Thematic Analysis: Striving to Meet the Trustworthiness Criteria [J].
Nowell, Lorelli S. ;
Norris, Jill M. ;
White, Deborah E. ;
Moules, Nancy J. .
INTERNATIONAL JOURNAL OF QUALITATIVE METHODS, 2017, 16 (01)
[29]  
Patanavanich R, 2020, NICOTINE TOB RES, V22, P1653, DOI [10.1093/ntr/ntaa082, 10.1101/2020.04.13.20063669]
[30]   From "Infodemics" to Health Promotion: A Novel Framework for the Role of Social Media in Public Health [J].
Schillinger, Dean ;
Chittamuru, Deepti ;
Ramirez, A. Susana .
AMERICAN JOURNAL OF PUBLIC HEALTH, 2020, 110 (09) :1393-1396