Literature DB >> 33651705

Examining Tweet Content and Engagement of Canadian Public Health Agencies and Decision Makers During COVID-19: Mixed Methods Analysis.

Catherine E Slavik1, Charlotte Buttle1, Shelby L Sturrock2, J Connor Darlington3, Niko Yiannakoulias1.   

Abstract

BACKGROUND: Effective communication during a health crisis can ease public concerns and promote the adoption of important risk-mitigating behaviors. Public health agencies and leaders have served as the primary communicators of information related to COVID-19, and a key part of their public outreach has taken place on social media platforms.
OBJECTIVE: This study examined the content and engagement of COVID-19 tweets authored by Canadian public health agencies and decision makers. We propose ways for public health accounts to adjust their tweeting practices during public health crises to improve risk communication and maximize engagement.
METHODS: We retrieved data from tweets by Canadian public health agencies and decision makers from January 1, 2020, to June 30, 2020. The Twitter accounts were categorized as belonging to either a public health agency, regional or local health department, provincial health authority, medical health officer, or minister of health. We analyzed trends in COVID-19 tweet engagement and conducted a content analysis on a stratified random sample of 485 tweets to examine the message functions and risk communication strategies used by each account type.
RESULTS: We analyzed 32,737 tweets authored by 118 Canadian public health Twitter accounts, of which 6982 tweets were related to COVID-19. Medical health officers authored the largest percentage of COVID-19-related tweets (n=1337, 35%) relative to their total number of tweets and averaged the highest number of retweets per COVID-19 tweet (112 retweets per tweet). Public health agencies had the highest frequency of daily tweets about COVID-19 throughout the study period. Compared to tweets containing media and user mentions, hashtags and URLs were used in tweets more frequently by all account types, appearing in 69% (n=4798 tweets) and 68% (n=4781 tweets) of COVID-19-related tweets, respectively. Tweets containing hashtags also received the highest average retweets (47 retweets per tweet). Our content analysis revealed that of the three tweet message functions analyzed (information, action, community), tweets providing information were the most commonly used across most account types, constituting 39% (n=181) of all tweets; however, tweets promoting actions from users received higher than average retweets (55 retweets per tweet). When examining tweets that received one or more retweet (n=359), the difference between mean retweets across the message functions was statistically significant (P<.001). The risk communication strategies that we examined were not widely used by any account type, appearing in only 262 out of 485 tweets. However, when these strategies were used, these tweets received more retweets compared to tweets that did not use any risk communication strategies (P<.001) (61 retweets versus 13 retweets on average).
CONCLUSIONS: Public health agencies and decision makers should examine what messaging best meets the needs of their Twitter audiences to maximize sharing of their communications. Public health accounts that do not currently employ risk communication strategies in their tweets may be missing an important opportunity to engage with users about the mitigation of health risks related to COVID-19. ©Catherine E Slavik, Charlotte Buttle, Shelby L Sturrock, J Connor Darlington, Niko Yiannakoulias. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.03.2021.

Entities:  

Keywords:  COVID-19; Twitter; content analysis; coronavirus; engagement; infodemiology; pandemic; public health; risk communication; social media

Mesh:

Year:  2021        PMID: 33651705      PMCID: PMC7954113          DOI: 10.2196/24883

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  22 in total

1.  Retweeting Risk Communication: The Role of Threat and Efficacy.

Authors:  Sarah C Vos; Jeannette Sutton; Yue Yu; Scott Leo Renshaw; Michele K Olson; C Ben Gibson; Carter T Butts
Journal:  Risk Anal       Date:  2018-08-06       Impact factor: 4.000

Review 2.  Canada: Health system review.

Authors:  Gregory Marchildon
Journal:  Health Syst Transit       Date:  2013

3.  Fifteen years post-SARS: Key milestones in Canada's public health emergency response.

Authors:  T Tam
Journal:  Can Commun Dis Rep       Date:  2018-05-03

4.  Use of twitter among local health departments: an analysis of information sharing, engagement, and action.

Authors:  Brad L Neiger; Rosemary Thackeray; Scott H Burton; Callie R Thackeray; Jennifer H Reese
Journal:  J Med Internet Res       Date:  2013-08-19       Impact factor: 5.428

5.  Engagement with health agencies on twitter.

Authors:  Sanmitra Bhattacharya; Padmini Srinivasan; Phil Polgreen
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

6.  COVID-19 pandemic, infodemic and the role of eHealth literacy.

Authors:  Yuen Yu Chong; Ho Yu Cheng; Helen Yue Lai Chan; Wai Tong Chien; Samuel Yeung Shan Wong
Journal:  Int J Nurs Stud       Date:  2020-05-15       Impact factor: 5.837

7.  Mining Physicians' Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis.

Authors:  Abdullah Wahbeh; Tareq Nasralah; Mohammad Al-Ramahi; Omar El-Gayar
Journal:  JMIR Public Health Surveill       Date:  2020-06-18

8.  Social media and outbreaks of emerging infectious diseases: A systematic review of literature.

Authors:  Lu Tang; Bijie Bie; Sung-Eun Park; Degui Zhi
Journal:  Am J Infect Control       Date:  2018-04-05       Impact factor: 2.918

9.  Misinformation and the US Ebola communication crisis: analyzing the veracity and content of social media messages related to a fear-inducing infectious disease outbreak.

Authors:  Tara Kirk Sell; Divya Hosangadi; Marc Trotochaud
Journal:  BMC Public Health       Date:  2020-05-07       Impact factor: 3.295

10.  Strategic Uses of Facebook in Zika Outbreak Communication: Implications for the Crisis and Emergency Risk Communication Model.

Authors:  May O Lwin; Jiahui Lu; Anita Sheldenkar; Peter J Schulz
Journal:  Int J Environ Res Public Health       Date:  2018-09-10       Impact factor: 3.390

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  10 in total

1.  Does Citizen Engagement With Government Social Media Accounts Differ During the Different Stages of Public Health Crises? An Empirical Examination of the COVID-19 Pandemic.

Authors:  Wei Zhang; Hui Yuan; Chengyan Zhu; Qiang Chen; Richard Evans
Journal:  Front Public Health       Date:  2022-06-13

2.  Identifying features of source and message that influence the retweeting of health information on social media during the COVID-19 pandemic.

Authors:  Jingzhong Xie; Liqun Liu
Journal:  BMC Public Health       Date:  2022-04-22       Impact factor: 4.135

3.  Canadian COVID-19 Crisis Communication on Twitter: Mixed Methods Research Examining Tweets from Government, Politicians, and Public Health for Crisis Communication Guiding Principles and Tweet Engagement.

Authors:  Melissa MacKay; Andrea Cimino; Samira Yousefinaghani; Jennifer E McWhirter; Rozita Dara; Andrew Papadopoulos
Journal:  Int J Environ Res Public Health       Date:  2022-06-06       Impact factor: 4.614

4.  A longitudinal and geospatial analysis of COVID-19 tweets during the early outbreak period in the United States.

Authors:  Raphael E Cuomo; Vidya Purushothaman; Jiawei Li; Mingxiang Cai; Tim K Mackey
Journal:  BMC Public Health       Date:  2021-04-24       Impact factor: 3.295

5.  Nursing Perspectives on the Impacts of COVID-19: Social Media Content Analysis.

Authors:  Ainat Koren; Mohammad Arif Ul Alam; Sravani Koneru; Alexa DeVito; Lisa Abdallah; Benyuan Liu
Journal:  JMIR Form Res       Date:  2021-12-10

6.  The Impact of the Online COVID-19 Infodemic on French Red Cross Actors' Field Engagement and Protective Behaviors: Mixed Methods Study.

Authors:  Leonardo W Heyerdahl; Benedetta Lana; Tamara Giles-Vernick
Journal:  JMIR Infodemiology       Date:  2021-10-06

7.  Public Attitudes During the Second Lockdown: Sentiment and Topic Analyses Using Tweets From Ontario, Canada.

Authors:  Shu-Feng Tsao; Alexander MacLean; Helen Chen; Lianghua Li; Yang Yang; Zahid Ahmad Butt
Journal:  Int J Public Health       Date:  2022-02-21       Impact factor: 3.380

8.  Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models.

Authors:  Aditya Singhal; Manmeet Kaur Baxi; Vijay Mago
Journal:  JMIR Med Inform       Date:  2022-08-18

Review 9.  Evaluating the Effectiveness of Internet-Based Communication for Public Health: Systematic Review.

Authors:  Elisabetta Ceretti; Loredana Covolo; Francesca Cappellini; Alberto Nanni; Sara Sorosina; Andrea Beatini; Mirella Taranto; Arianna Gasparini; Paola De Castro; Silvio Brusaferro; Umberto Gelatti
Journal:  J Med Internet Res       Date:  2022-09-13       Impact factor: 7.076

Review 10.  Pediatric Airway Management in Times of COVID-19-a Review of the Evidence and Controversies.

Authors:  Clyde T Matava; James Peyton; Britta S von Ungern-Sternberg
Journal:  Curr Anesthesiol Rep       Date:  2021-07-24
  10 in total

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