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
First of all, proper quarantine is the most important, especially at the early stage of the
epidemic development. It is believed that the outbreak of COVID-19 started as early as mid-…

Beyond (mis) representation: Visuals in COVID-19 misinformation

JS Brennen, FM Simon… - The International Journal …, 2021 - journals.sagepub.com
analysis of the visuals in ninety-six pieces of COVID-19 … -checkers and produced in the first
three months of 2020. Conceptually… Examining both textual and visual elements, our analysis

An initial visual analysis of the relationship between covid-19 and local community features

J Hua, ML Huang, C Zhao, S Hua… - 2020 24th International …, 2020 - ieeexplore.ieee.org
… The UK (United Kingdom) is the first country in the COVID-19 … need to be considered in
COVID-19 analysis, yet, most of … is an initial visual approach in COVID-19's data analytics. Based …

DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain

J Martorell-Marugán, JA Villatoro-García… - Science of the Total …, 2021 - Elsevier
… Nevertheless, to the best of our knowledge, DatAC is the first application that integrates
epidemiological data with meteorological and air quality information. Although the first release of …

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
… The first dataset [16] consists of the core statistics of COVID-19 development such as
confirmed cases, amount of tests, and death toll for each country. The second dataset [11] is from …

Visual analytics for the coronavirus COVID-19 pandemic

CG Healey, SJ Simmons, C Manivannan, Y Ro - Big Data, 2022 - liebertpub.com
… Due to certain regions having little to no variation per week in fatalities at the beginning
of the pandemic, we started our analysis ∼150 days into the pandemic (specifically, June 18, …

Big data visualization and visual analytics of COVID-19 data

CK Leung, Y Chen, CSH Hoi, S Shang… - 2020 24th …, 2020 - ieeexplore.ieee.org
… Our tool first collects different categories of big COVID-19 epidemiological data from
different sources (eg, federal and provincial/territorial governments). These include: …

Deep learning for visual analytics of the spread of COVID-19 infection in crowded urban environments

Y Pi, ND Nath, S Sampathkumar… - Natural Hazards …, 2021 - ascelibrary.org
… This paper presents a visual analysis approach that uses … Xiamen, China, recorded during
the COVID-19 pandemic, followed by … Early coronavirus-related public health effects,” National …

Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic

J Sleigh, J Amann, M Schneider, E Vayena - BMC public health, 2021 - Springer
… Recognizing the importance of Twitter and visual … the characteristics of Covid-19 risk
communication visuals posted on the … first to analyse the characteristics, trends, and ethics of …

A bibliometric analysis of COVID-19 publications in neurology by using the visual mapping method

Q Zhang, J Li, L Weng - Frontiers in Public Health, 2022 - frontiersin.org
… symptom of coronavirus disease 2019 (COVID-19) is … -related research on COVID-19
using bibliometric analysis. … COVID-19 may decline, with only 687 publications in the first