Digital Information Approach through Social Media among Gen Z and Millennials: The Global Scenario during the COVID-19 Pandemic

Expressions of pandemic fatigue on digital platforms: a thematic analysis of sentiment and narratives for infodemic insights

BACKGROUND

The infodemic accompanying the COVID-19 pandemic has led to an overwhelming amount of information, including questions, concerns and misinformation. Pandemic fatigue has been identified as a concern from early in the pandemic. With new and ongoing health emergencies in 2022, it is important to understand how pandemic fatigue is being discussed and expressed by users on digital channels. This study aims to explore and report on key narrative themes associated with expressions of pandemic fatigue by users on digital platforms.

METHODS

This paper describes the collection of publicly available data over a 3-month period from multiple online sources using the Meltwater and CrowdTangle platforms to source data from Twitter, Facebook, Instagram, YouTube, TikTok, Pinterest, Product Reviews, Twitch, blogs & forums. A comprehensive search strategy was developed and tested. A total of 1,484,042 social media posts were identified during the time-period that included the defined search terms for pandemic fatigue. These data were initially sorted by highest levels of engagement and from this dataset, analysts reviewed the identified posts to isolate and remove irrelevant content and identify dominant narratives. A thematic analysis was carried out on these narratives to identify themes related to expression of pandemic fatigue. Two researchers reviewed the data and themes.

RESULTS

The thematic analysis of narratives identified six main themes relating to expression of pandemic fatigue, and one theme of counter narratives against pandemic fatigue. Data volume increased concurrent with the time of the mpox emergency announcement. Emergent themes showed the different ways users expressed pandemic fatigue and how it was interlaced with issues of trust, preventative measure acceptance and uptake, misinformation, and being overwhelmed with multiple or sustained emergencies.

CONCLUSIONS

This paper has identified the different ways users express pandemic fatigue on digital channels over a 3-month period. Better understanding the implications of the information environment on user's perceptions, questions, and concerns regarding pandemic and more broadly emergency fatigue is vital in identifying relevant interventions and, in the longer term, strengthening the global architecture for health emergency preparedness, prevention, readiness and resilience, as evidenced in this paper. There are clear pathways for further research, including incorporating additional languages and reviewing these themes over longer time periods.

Moderating Role of Communication Competence in the Association between Professionalism and Job Satisfaction in Korean Millennial and Generation Z Nurses: A Cross-Sectional Study

Millennial and Generation Z (MZ generation) nurses, the core of the Republic of Korean nursing workforce, are leaving hospitals. We, therefore, aimed to determine the mediating role of communication competence between nursing professionalism and job satisfaction of MZ generation nurses in Republic of Korea. A total of 188 nurses aged 20-39 years belonging to the MZ generation, who had been working in a general hospital for over six months, participated in an online survey from 27 October 2022 to 11 January 2023. Data analysis was conducted using the bootstrapping method with the SPSS PROCESS macro program to confirm the mediating role of communication competence. Job satisfaction, professionalism, and communication skills were significantly positively correlated (r = 0.36-0.72, p < 0.001). Communication competence was found to be a mediating factor in the relationship between professionalism and job satisfaction. The results showed that when professionalism related to job satisfaction, good communication further enhanced job satisfaction. In order to enhance MZ generation nurses' job satisfaction, it is necessary to improve nursing professionalism and implement training programs to improve communication skills considering generation-specific characteristics.

Exploring COVID-19 vaccine hesitancy and uptake in Nairobi's urban informal settlements: an unsupervised machine learning analysis of a longitudinal prospective cohort study from 2021 to 2022

OBJECTIVES

To illustrate the utility of unsupervised machine learning compared with traditional methods of analysis by identifying archetypes within the population that may be more or less likely to get the COVID-19 vaccine.

DESIGN

A longitudinal prospective cohort study (n=2009 households) with recurring phone surveys from 2020 to 2022 to assess COVID-19 knowledge, attitudes and practices. Vaccine questions were added in 2021 (n=1117) and 2022 (n=1121) rounds.

SETTING

Five informal settlements in Nairobi, Kenya.

PARTICIPANTS

Individuals from 2009 households included.

OUTCOME MEASURES AND ANALYSIS

Respondents were asked about COVID-19 vaccine acceptance (February 2021) and vaccine uptake (March 2022). Three distinct clusters were estimated using K-Means clustering and analysed against vaccine acceptance and vaccine uptake outcomes using regression forest analysis.

RESULTS

Despite higher educational attainment and fewer concerns regarding the pandemic, young adults (cluster 3) were less likely to intend to get the vaccine compared with cluster 1 (41.5% vs 55.3%, respectively; p<0.01). Despite believing certain COVID-19 myths, older adults with larger households and more fears regarding economic impacts of the pandemic (cluster 1) were more likely to ultimately to get vaccinated than cluster 3 (78% vs 66.4%; p<0.01), potentially due to employment requirements. Middle-aged women who are married or divorced and reported higher risk of gender-based violence in the home (cluster 2) were more likely than young adults (cluster 3) to report wanting to get the vaccine (50.5% vs 41.5%; p=0.014) but not more likely to have gotten it (69.3% vs 66.4%; p=0.41), indicating potential gaps in access and broader need for social support for this group.

CONCLUSIONS

Findings suggest this methodology can be a useful tool to characterise populations, with utility for improving targeted policy, programmes and behavioural messaging to promote uptake of healthy behaviours and ensure equitable distribution of prevention measures.

Knowledge and training of Italian students in Healthcare Settings on COVID-19 vaccines and vaccination strategies, one year after the immunization campaign

Introduction

COVID-19 vaccines represent an important opportunity for defeating the disease, as long as high vaccination acceptance rates are achieved. Healthcare workers (HCWs) have a relevant role in the promotion of immunization among the population and since students in healthcare area will be HCWs it is crucial to provide more in-depth knowledge on vaccinations. Therefore, the aim of the study is to assess the knowledge of medical and pharmaceutical area students regarding COVID-19 vaccination and the impact of a specific Elective Teaching Activity (ETA) on the increase of students' knowledge. The ETA was held one year after the immunization campaign in Italy.

Methods

Students' knowledge was tested with a questionnaire before and after attending the course. Descriptive statistical methods were used to analyse the results obtained. Student's t-tests for paired data were used.

Results

Overall, 387 students at the University of Florence attended the course and took the same test before and after the ETA on COVID-19 vaccines. Despite achieving satisfactory average scores in the pre-course test (26/32 ± 4.0), all students were able to significantly enhance their final score (+17.1%; p < 0.001), indicating that the ETA was highly effective in improving their knowledge of COVID-19 vaccination. Medical students demonstrated a better comprehension of the role of the medical specialist in public health in the COVID-19 vaccination campaign, while some uncertainties were revealed regarding the role of pharmacists.

Conclusions

The results of this study confirm that specific training activities on vaccination are effective for implementing the knowledge of future health professionals.

Improving Public Health Policy by Comparing the Public Response during the Start of COVID-19 and Monkeypox on Twitter in Germany: A Mixed Methods Study

Little is known about monkeypox public concerns since its widespread emergence in many countries. Tweets in Germany were examined in the first three months of COVID-19 and monkeypox to examine concerns and issues raised by the public. Understanding views and positions of the public could help to shape future public health campaigns. Few qualitative studies reviewed large datasets, and the results provide the first instance of the public thinking comparing COVID-19 and monkeypox. We retrieved 15,936 tweets from Germany using query words related to both epidemics in the first three months of each one. A sequential explanatory mixed methods research joined a machine learning approach with thematic analysis using a novel rapid tweet analysis protocol. In COVID-19 tweets, there was the selfing construct or feeling part of the emerging narrative of the spread and response. In contrast, during monkeypox, the public considered othering after the fatigue of the COVID-19 response, or an impersonal feeling toward the disease. During monkeypox, coherence and reconceptualization of new and competing information produced a customer rather than a consumer/producer model. Public healthcare policy should reconsider a one-size-fits-all model during information campaigns and produce a strategic approach embedded within a customer model to educate the public about preventative measures and updates. A multidisciplinary approach could prevent and minimize mis/disinformation.