Interactive Visualization of Agent-Based Pandemic Simulation in Web Browser

Michal Mrozek, Mikhail Sirenko, Anna Foks-Ryznar, Bartosz Sawicki

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

The paper presents a web-based system designed to visualize a simulation of ca. 500,000 residents of a city during the COVID-19 outbreak. Each agent's infection status and mobility are presented in the time scale. The main effort was to ensure simplicity from the user's perspective and smooth operation on various client devices. The full range of software engineering problems is discussed, from efficient data storage to optimization of visualization methods.
Original languageEnglish
Title of host publication23rd International Conference on Computational Problems of Electrical Engineering, CPEE 2022
PublisherIEEE
Number of pages4
ISBN (Electronic)979-8-3503-9625-6
DOIs
Publication statusPublished - 2022
Event23rd International Conference on Computational Problems of Electrical Engineering, CPEE 2022 - Zuberec, Slovakia
Duration: 11 Sept 202214 Sept 2022

Publication series

Name2022 23rd International Conference on Computational Problems of Electrical Engineering, CPEE 2022

Conference

Conference23rd International Conference on Computational Problems of Electrical Engineering, CPEE 2022
Country/TerritorySlovakia
CityZuberec
Period11/09/2214/09/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • agent-based model
  • big data
  • covid-19 outbreak
  • web application

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