Preparedness for Visualization in the Next Pandemic

被引：0

作者：

McGee, Fintan ^{[1
]}

Abu Sin, Muna ^{[2
]}

Chen, Min ^{[3
]}

Ebert, David ^{[4
,5
]}

Misue, Kazuo ^{[6
]}

Ritsos, Panagiotis D. ^{[7
]}

Wulff, Antje ^{[8
]}

机构：

[1] Luxembourg Inst Sci & Technol, L-4362 Esch Sur Alzette, Luxembourg

[2] Robert Koch Inst, D-13353 Berlin, Germany

[3] Univ Oxford, Oxford OX1 3QG, England

[4] Univ Oklahoma, Elect & Comp Engn, Norman, OK 73019 USA

[5] Univ Oklahoma, Data Inst Societal Challenges, Norman, OK 73019 USA

[6] Univ Tsukuba, Inst Syst & Informat Engn, Tsukuba 3058573, Japan

[7] Bangor Univ, Sch Comp Sci & Engn, Bangor LL57 2DG, Wales

[8] Carl Von Ossietzky Univ Oldenburg, Big Data Med Sch Med & Hlth Sci, D-26129 Oldenburg, Germany

来源：

IEEE COMPUTER GRAPHICS AND APPLICATIONS | 2025年 / 45卷 / 03期

基金：

英国工程与自然科学研究理事会;

关键词：

COVID-19; Training; Pandemics; Infectious diseases; Data visualization; Emergency services; Stakeholders; Reliability; Risk management; Public healthcare; DESIGN;

D O I：

10.1109/MCG.2025.3561619

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This article discusses considerations on how visualization can be best positioned to help respond to future pandemics. We examine visualization, along with the corresponding and necessary enabling technologies and platforms, as a tool to facilitate a rapid and effective response to a forthcoming pandemic. We consider challenges in terms of an infrastructure supporting world-wide response, corresponding training and stakeholder engagement, integration of future technologies, and appraisal of such systems. Finally, we discuss how addressing these challenges also helps emergency response beyond infectious diseases.

引用

页码：95 / 103

页数：9

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