Data Visualization for Health and Risk Communication
Fan Yang · 2020
In general, data visualization, especially advanced data visualization, has been viewed by practitioners from various disciplines as a powerful tool with the capacity to highlight the most important elements or key issues to improve understanding of the provided information. This chapter reviews the research on traditional static data visualization as well as advanced computer-mediated interactive data visualization that has been conducted in the area of health and risk communication. Like traditional data visualizations, there are numerous types of interactive data visualization that have been adopted for presenting various types of health- and risk-related information to the general public. The chapter discusses some of the theoretical frameworks that have been adopted in research on data visualization for health and risk communication. In health and risk communication research, a popular theoretical lens used to explain and predict the effectiveness and/or ineffectiveness of fear appeals is the extended parallel process model.