… data intelligence solution for health analytics with spatial hierarchy. In particular, we focus on
analyzing coronavirus disease 2019 (COVID-19) epidemiological data … of COVID-19 cases …

… This work describes an empirical analysis of the COVID-19 infodemic in terms of the distinct
… of COVID-19 myths and facts—CovMythFact. In addition, we provide an in-depth analysis to …

… In this research paper, we have presented a data visualization of COVID19 dataset in a
multi… in the field of Corona virus (COVID-19) Data visualization and analytics. The results gives …

… to automatically recommend visualizations that are “interesting” wrt new incoming data, for
visual analytics (Section 2.3). Interaction allows a user to explore various and (maybe) new …

… analytics for public health [81] has presented a variety of requirements and visual analytics
techniques to help guide epidemiologists and environmental health specialists conduct …

… In this paper, we propose a detailed data analytics study about the COVID-19 virus to
understand its impact. Besides, we compare its severity against Ebola 2014, MERS 2012, and …

… descriptors that could be used to catalog the COVID-19 data visualization that we collected.
… analysis uncovered five challenges related with COVID-19 casual data visualization on …

… This review is especially important in the wake of COVID-19 surveillance and response …
We further reviewed the conference proceedings from Visual Analytics in Health Care, which is …

… data analysis. Among the tools provided, a pixel-oriented one drives the analysts to observe
visual … As a running case study, we employed three open databases of COVID-19 cases, …

… data in tables. Furthermore, our findings contribute to the growing literature on COVID-19
research by showcasing the COVID-19 … Tableau your data!: fast and easy visual analysis with …