Visual analytics for the coronavirus COVID-19 pandemic

CG Healey, SJ Simmons, C Manivannan, Y Ro - Big Data, 2022 - liebertpub.com
The coronavirus disease COVID-19 was first reported in Wuhan, China, on December 31,
2019. The disease has since spread throughout the world, affecting 227.2 million individuals …

Learning from lines: Critical COVID data visualizations and the quarantine quotidian

E Bowe, E Simmons, S Mattern - Big data & society, 2020 - journals.sagepub.com
In response to the ubiquitous graphs and maps of COVID-19, artists, designers, data
scientists, and public health officials are teaming up to create counter-plots and subaltern …

Big data visualization and visual analytics of COVID-19 data

CK Leung, Y Chen, CSH Hoi, S Shang… - 2020 24th …, 2020 - ieeexplore.ieee.org
In the current era of big data, a huge amount of data has been generated and collected from
a wide variety of rich data sources. Embedded in these big data are useful information and …

Big data visualization analysis: distribution of COVID-19 mortality and vaccination in the US

B Meng, S Cheng, A Kumar - 2022 International Symposium on …, 2022 - ieeexplore.ieee.org
The world has been experiencing the deadly disease COVID-19 since December 2019, and
it has been studied extensively due to the availability of datasets in abundance. In this …

Cowiz: Interactive covid-19 visualization based on multilayer network analysis

K Samant, E Memeti, A Santra, E Karim… - 2021 IEEE 37th …, 2021 - ieeexplore.ieee.org
Covid Wizard or CoWiz is a Covid-19 visualization dashboard based on Multilayer Network
(MLN) analysis underneath 1. Online dashboards typically plot/visualize statistical …

WITHDRAWN: RAMPVIS: A visualization and visual analytics infrastructure for COVID-19 data

E Rydow, T Gönen, A Kachkaev, S Khan - 2023 - Elsevier
1 2 WITHDRAWN: RAMPVIS: A visualization and visual analytics infrastructure for COVID-
19 data Erik Rydow ∗, Tuna Gö nen, Alexander Kachkaev, Saiful Khan Oxford e …

COVID19α: Interactive spatio-temporal visualization of COVID-19 symptoms through tweet analysis

BS Bijoy, SJ Saba, S Sarkar, MS Islam… - … Proceedings of the …, 2021 - dl.acm.org
In this demo, we focus on analyzing COVID-19 related symptoms across the globe reported
through tweets by building an interactive spatio-temporal visualization tool, ie, COVID19α …

Data visualization for the understanding of COVID-19

JLD Comba - Computing in Science & Engineering, 2020 - ieeexplore.ieee.org
Visualization techniques have been front-and-center in the efforts to communicate the
science around COVID-19 to the very broad audience of policy makers, scientists …

A Multiscale Geospatial Dataset and an Interactive Visualization Dashboard for Computational Epidemiology and Open Scientific Research

M Usman, H Zhou, S Moon, X Zhang… - IEEE computer …, 2022 - ieeexplore.ieee.org
The coronavirus disease (COVID-19) continued to strike as a highly infectious and fast-
spreading disease in 2020 and 2021. As the research community actively responded to this …

CovidExplorer: A multi-faceted AI-based search and visualization engine for COVID-19 information

H Ambavi, K Vaishnaw, U Vyas, A Tiwari… - Proceedings of the 29th …, 2020 - dl.acm.org
The entire world is engulfed in the fight against the COVID-19 pandemic, leading to a
significant surge in research experiments, government policies, and social media …