Tweeting a Pandemic: Communicating #COVID19 Across the Globe.

The COVID-19 pandemic brought about an urgent need for public health departments to clearly communicate their prevention, testing, and treatment recommendations. Previous research supports that Twitter is an important platform that public health departments use to communicate crisis information to stakeholders. This study aimed to shed light on how international health departments shared relevant information about COVID-19 on Twitter in 2020. We conducted a quantitative content analysis of N = 1,200 tweets from twelve countries, across six continents. COVID-19 prevention behaviors were consistently referenced far more than testing or treatment recommendations across countries. Disease severity and susceptibility were referenced more than recommendation benefits, barriers, and efficacy. Results provide support for how public health departments can better communicate recommendations related to COVID-19 behaviors. Based on these results, implications for public health organizations and public relations practitioners worldwide are discussed, and hands-on action guidelines are provided.

Tweeting about #Diseases and #Publichealth: Communicating Global Health Issues across Nations.

Twitter is playing an increasing role in health communications, but little is known about the Twitter use of national health departments in general and across different nations in particular. This quantitative content analysis of 1,200 tweets from 12 national health departments showed that the topics covered in these tweets are often lacking in broad coverage - cardiovascular disease is barely mentioned, while infectious diseases are often highlighted - and the tweets do not try to initiate engagement through creating a two-way dialogue with followers. However, the tweets appear to use Health Belief Model constructs, such as initiating cues to action, mentioning self-efficacy and highlighting perceived benefits of health preventative, treatment or screening options, and this is associated with increased Twitter engagement. The paper ends with recommendations for both future studies and new challenges for the use of Twitter by national health departments.

We-Caring: Searching for Online Health Information by Italian Families.

Using data collected by the Italian National Institute of Statistics on 19,000 Italian adults who had accessed the Internet in 2013, our study investigates the interaction between online health information-seeking behaviors and family obligations among household members. The study presents a detailed picture of the likelihood of online health information searching according to health status and gendered family roles. Findings of binomial logistic regression models highlight that family obligations per se influence the probability of searching, regardless of the health of the seeker and that of family members. Illness, whether affecting the seeker or other individuals within the family network, proves to be another trigger for online health information seeking. Directions for future research and practical implications for public health organizations are discussed.

Communicating the Ontological Narrative of Ebola: An Emerging Disease in the Time of "Epidemic 2.0".

In this article, we critically analyze the implications of "Epidemic 2.0"-specifically the formative role of social media (as an exemplar of Web 2.0 technology) in disseminating information during epidemics. We use a narrative analysis framework to study the Ebola-related messaging on the official Facebook pages of the World Health Organization (WHO) and the Center for Disease Control (CDC) in the wake of the recent epidemic in Western Africa. Using as our corpus all the messages on these pages between the period of July 1 and October 15, 2014, our analysis traces the development of an ontological Ebola narrative: a specific, historically contingent, ideological plot that reaffirms contemporary Western anxieties around emerging infections. Our analysis focuses on the evolution of this ontological narrative from a) consulting and containment, to b) an international concern, and c) the possibility of an epidemic in the United States.

Social distancing during COVID-19: threat and efficacy among university students in seven nations.

COVID-19 has been spreading fast worldwide, and until effective and safe vaccines have been widely adopted, preventive measures such as social distancing are crucial to keep the pandemic under control. The study's research questions asked which psychosocial factors predict social distancing behavior and whether there are country-level differences in social distancing? Using the Extended Parallel Process Model (EPPM) as a theoretical lens, we examined the predictive effects of threat and efficacy and demographic variables on adherence to the COVID-19 preventive behavior of social distancing using a survey among an international sample of university students. Using path modeling and analysis of covariance, we confirmed the predictive effects of the EPPM on social distancing behavior. Our final model showed that perceived susceptibility to COVID-19 was both directly and indirectly (through response efficacy) associated with social distancing behavior; that perceived severity of COVID-19 yielded a significant indirect effect on social distancing behavior through both self-efficacy and response efficacy; that perceived susceptibility is indirectly and positively associated with social distancing behavior through response efficacy; and that self-efficacy and response efficacy were directly associated with social distancing behavior. Additionally, there were country-level differences in social distancing. Possible explanations for and implications of these findings are discussed.

Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season.

Influenza epidemics happen every year, with more than 8 million severe cases in 2017. The most effective way to prevent seasonal influenza is vaccination. In recent years, misinformation regarding vaccines abounds on social media, but the flu vaccine is relatively understudied in this area, and the current study is the first 1 to explore the content and nature of influenza information that is shared on Twitter, comparing tweets published in the early flu season with those posted in peak flu season. Using a quantitative content analysis, 1000 tweets from both parts of the flu season were analyzed for use of Health Belief Model (HBM) variables, engagement, and flu vaccine specific variables. Findings show several promising opportunities for health organizations and professionals: HBM constructs were present more frequently than in previous, related studies, and fewer vaccine-hesitant tweets appear to be present. However, the presence of high barriers to flu vaccine uptake increased significantly from early to peak season, including an increase in the mention of conspiracy theories. Flu vaccine related tweets appear to vary in misinformation level and density throughout the flu season. While this should be confirmed by further studies over multiple flu seasons, this a finding that should be considered by public health organizations when developing flu vaccine campaigns on social media.