Prediction of COVID-19 infection spread through agent-based simulation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this work, we develop an agent-based model to predict the infection spread with accuracy. Under COVID-19 pandemic, we faced difficult decision-making of disease control including social distancing and shutdown, which significantly restricted our daily living. Without strong evidences to its effect, however, it was very hard to implement necessary policies in a timely manner. To this end, it is imperative to design a computationally efficient simulation model that can predict the infection spread with accuracy, taking into account the changes of important control policies. We develop an agent-based model that can incorporate individual behaviors and interactions, while capturing large-scale features of the infection spread. We verify the accuracy of our model by comparing the prediction results with the traces of COVID-19 confirmed cases in several countries.

Original languageEnglish
Title of host publicationMobiHoc 2022 - Proceedings of the 2022 23rd International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
PublisherAssociation for Computing Machinery
Pages247-252
Number of pages6
ISBN (Electronic)9781450391658
DOIs
Publication statusPublished - 2022 Oct 3
Event23rd ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2022 - Seoul, Korea, Republic of
Duration: 2022 Oct 172022 Oct 20

Publication series

NameProceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)

Conference

Conference23rd ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2022
Country/TerritoryKorea, Republic of
CitySeoul
Period22/10/1722/10/20

Bibliographical note

Funding Information:
This research was supported in part by the MSIT, Korea, under the ICT Creative Consilience program (IITP-2022-2020-0-01819) supervised by the IITP, and in part by the NRF grant (MSIT, Korea) (No. NRF-2021R1A2C2013065)

Publisher Copyright:
© 2022 ACM.

Keywords

  • agent-based model
  • control policy
  • COVID-19
  • infection spread
  • prediction

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Software

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