A visual analytics based decision making environment for COVID-19 modeling and visualization

S Afzal, S Ghani, HC Jenkins-Smith… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Public health officials dealing with pandemics like COVID-19 have to evaluate and prepare
response plans. This planning phase requires not only looking into the spatiotemporal …

COVIs: supporting temporal visual analysis of Covid-19 events usable in data-driven journalism

RA Leite, V Schetinger, D Ceneda… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Caused by a newly discovered coronavirus, COVID-19 is an infectious disease easily
transmitted between people through close contacts that had exponential global growth in …

A visual data science solution for visualization and visual analytics of big sequential data

CK Leung, Y Wen, C Zhao, H Zheng… - 2021 25th …, 2021 - ieeexplore.ieee.org
In the current era of big data, huge volumes of valuable data have been generated and
collected at a rapid velocity from a wide variety of rich data sources. In recent years, the …

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 …

Visual data analysis and simulation prediction for COVID-19

B Chen, M Shi, X Ni, L Ruan, H Jiang, H Yao… - arXiv preprint arXiv …, 2020 - arxiv.org
The COVID-19 (formerly, 2019-nCoV) epidemic has become a global health emergency, as
such, WHO declared PHEIC. China has taken the most hit since the outbreak of the virus …

Scalable epidemiological workflows to support covid-19 planning and response

D Machi, P Bhattacharya, S Hoops… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
The COVID-19 global outbreak represents the most significant epidemic event since the
1918 influenza pandemic. Simulations have played a crucial role in supporting COVID-19 …

RAMPVIS: Towards a new methodology for developing visualisation capabilities for large-scale emergency responses

M Chen, A Abdul-Rahman, D Archambault… - arXiv preprint arXiv …, 2020 - arxiv.org
The effort for combating the COVID-19 pandemic around the world has resulted in a huge
amount of data, eg, from testing, contact tracing, modelling, treatment, vaccine trials, and …

A data visualization interactive exploration of human mobility data during the COVID-19 outbreak: a case study

M Ribeiro, V Nisi, C Prandi… - 2020 IEEE Symposium on …, 2020 - ieeexplore.ieee.org
In this paper, we present a real-world study where a community-based tracking infrastructure
has been put to good use for understanding human mobility during the COVID-19 outbreak …

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 …

COVID-19 joint pandemic modeling and analysis platform

G Thakur, K Sparks, A Berres, V Tansakul… - Proceedings of the 1st …, 2020 - dl.acm.org
The non-pharmaceutical intervention to reduce the impact and spread of COVID-19 requires
the development of policies and guidance through a collaborative effort among government …