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Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data.
Gao, Yankun; Xie, Zidian; Li, Dongmei.
  • Gao Y; Department of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, United States.
  • Xie Z; Department of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, United States.
  • Li D; Department of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, United States.
JMIR Public Health Surveill ; 7(1): e24859, 2021 01 05.
Article in English | MEDLINE | ID: covidwho-2141296
ABSTRACT

BACKGROUND:

Previous studies have shown that electronic cigarette (e-cigarette) users might be more vulnerable to COVID-19 infection and could develop more severe symptoms if they contract the disease owing to their impaired immune responses to viral infections. Social media platforms such as Twitter have been widely used by individuals worldwide to express their responses to the current COVID-19 pandemic.

OBJECTIVE:

In this study, we aimed to examine the longitudinal changes in the attitudes of Twitter users who used e-cigarettes toward the COVID-19 pandemic, as well as compare differences in attitudes between e-cigarette users and nonusers based on Twitter data.

METHODS:

The study dataset containing COVID-19-related Twitter posts (tweets) posted between March 5 and April 3, 2020, was collected using a Twitter streaming application programming interface with COVID-19-related keywords. Twitter users were classified into two groups Ecig group, including users who did not have commercial accounts but posted e-cigarette-related tweets between May 2019 and August 2019, and non-Ecig group, including users who did not post any e-cigarette-related tweets. Sentiment analysis was performed to compare sentiment scores towards the COVID-19 pandemic between both groups and determine whether the sentiment expressed was positive, negative, or neutral. Topic modeling was performed to compare the main topics discussed between the groups.

RESULTS:

The US COVID-19 dataset consisted of 4,500,248 COVID-19-related tweets collected from 187,399 unique Twitter users in the Ecig group and 11,479,773 COVID-19-related tweets collected from 2,511,659 unique Twitter users in the non-Ecig group. Sentiment analysis showed that Ecig group users had more negative sentiment scores than non-Ecig group users. Results from topic modeling indicated that Ecig group users had more concerns about deaths due to COVID-19, whereas non-Ecig group users cared more about the government's responses to the COVID-19 pandemic.

CONCLUSIONS:

Our findings show that Twitter users who tweeted about e-cigarettes had more concerns about the COVID-19 pandemic. These findings can inform public health practitioners to use social media platforms such as Twitter for timely monitoring of public responses to the COVID-19 pandemic and educating and encouraging current e-cigarette users to quit vaping to minimize the risks associated with COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Perception / Pandemics / Social Media / Electronic Nicotine Delivery Systems / Smokers Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Long Covid Limits: Humans Language: English Journal: JMIR Public Health Surveill Year: 2021 Document Type: Article Affiliation country: 24859

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Perception / Pandemics / Social Media / Electronic Nicotine Delivery Systems / Smokers Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Long Covid Limits: Humans Language: English Journal: JMIR Public Health Surveill Year: 2021 Document Type: Article Affiliation country: 24859