7,747 Matching Annotations
  1. Jun 2020
  2. riskhomeostasis.org riskhomeostasis.org
    1. Understanding the characteristics of public attention and perception is an essential prerequisite for appropriate crisis management during adverse health events. This is even more crucial during a pandemic such as COVID-19, as primary responsibility of risk management is not centralized to a single institution, but distributed across society. While numerous studies utilize Twitter data in descriptive or predictive context during COVID-19 pandemic, causal modeling of public attention has not been investigated. In this study, we propose a causal inference approach to discover and quantify causal relationships between pandemic characteristics (e.g. number of infections and deaths) and Twitter activity as well as public sentiment. Our results show that the proposed method can successfully capture the epidemiological domain knowledge and identify variables that affect public attention and perception. We believe our work contributes to the field of infodemiology by distinguishing events that correlate with public attention from events that cause public attention.
    1. The coronavirus disease 2019 (COVID-19) has had psychological impacts on healthcare workers. However, very few scales are available to specifically assess healthcare workers’ work-related stress and anxiety in response to viral epidemics. This study developed a new rating scale, the Stress and Anxiety to Viral Epidemics-9 (SAVE-9), and validated it among healthcare workers directly affected by COVID-19 in Korea. A total of 1,019 healthcare workers responded through anonymous questionnaires during April 20-30, 2020. Internal consistency of the SAVE-9 was measured through Cronbach’s alpha, and principal component analysis with varimax rotation was used to determine its component structure. It was also compared with the Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 scales. Its most appropriate cut-off point was determined by conducting receiver operating characteristic analysis. The nine-item scale had satisfactory internal consistency (Cronbach’s α=0.795). It adopted a two-factor structure: (1) anxiety about viral epidemics and (2) work-related stress associated with viral epidemics (Bartlett’s test of sphericity, p < 0.001; Kaiser-Meyer-Olkin=0.85). Correlations between SAVE-9 and the other scales were statistically significant. The cut-off points of the SAVE-9 and its anxiety subcategory were 22 and 15, respectively, compared with a GAD-7 score of 5. The results suggest that the SAVE-9 is a useful, reliable, and valid tool to evaluate stress and anxiety responses in healthcare workers during viral epidemics.