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

Taegun An; Hyogon Kim; Changhee Joo

doi:10.1145/3492866.3557735

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

Taegun An, Hyogon Kim, Changhee Joo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (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 language	English
Title of host publication	MobiHoc 2022 - Proceedings of the 2022 23rd International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
Publisher	Association for Computing Machinery
Pages	247-252
Number of pages	6
ISBN (Electronic)	9781450391658
DOIs	https://doi.org/10.1145/3492866.3557735
Publication status	Published - 2022 Oct 3
Event	23rd ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2022 - Seoul, Korea, Republic of Duration: 2022 Oct 17 → 2022 Oct 20

Publication series

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

Conference

Conference	23rd ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2022
Country/Territory	Korea, Republic of
City	Seoul
Period	22/10/17 → 22/10/20

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

Access to Document

10.1145/3492866.3557735

Cite this

An, T., Kim, H., & Joo, C. (2022). Prediction of COVID-19 infection spread through agent-based simulation. In MobiHoc 2022 - Proceedings of the 2022 23rd International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (pp. 247-252). (Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)). Association for Computing Machinery. https://doi.org/10.1145/3492866.3557735

Prediction of COVID-19 infection spread through agent-based simulation. / An, Taegun; Kim, Hyogon ; Joo, Changhee.
MobiHoc 2022 - Proceedings of the 2022 23rd International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing. Association for Computing Machinery, 2022. p. 247-252 (Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

An, T, Kim, H & Joo, C 2022, Prediction of COVID-19 infection spread through agent-based simulation. in MobiHoc 2022 - Proceedings of the 2022 23rd International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing. Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), Association for Computing Machinery, pp. 247-252, 23rd ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2022, Seoul, Korea, Republic of, 22/10/17. https://doi.org/10.1145/3492866.3557735

An T, Kim H , Joo C. Prediction of COVID-19 infection spread through agent-based simulation. In MobiHoc 2022 - Proceedings of the 2022 23rd International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing. Association for Computing Machinery. 2022. p. 247-252. (Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)). doi: 10.1145/3492866.3557735

An, Taegun ; Kim, Hyogon ; Joo, Changhee. / Prediction of COVID-19 infection spread through agent-based simulation. MobiHoc 2022 - Proceedings of the 2022 23rd International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing. Association for Computing Machinery, 2022. pp. 247-252 (Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)).

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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