Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model

Elizabeth Hunter; Bryony L. McGarry; John D. Kelleher

doi:10.1007/978-3-030-92843-8_29

Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model

Elizabeth Hunter, Bryony L. McGarry, John D. Kelleher

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

Abstract

COVID-19 has caused strain on healthcare systems worldwide and concern within the population over this strain and the chances of becoming infected has reduced the likelihood of people seeking medical treatment for other health events. Stroke is a medical emergency and swift treatment can make a difference in outcomes. Understanding how concern over the COVID-19 pandemic impacts the time delay in seeking treatment after a stroke can help understand both the long-term cost implications and how to target individuals to remind them of the importance of seeking treatment. We present an agent-based model to simulate the delay in seeking treatment for stroke due to concerns over COVID-19 and show that small changes in behaviour impact the average delay in seeking treatment. We find that introducing control measures and having multiple smaller peaks of the pandemic results in less delay in seeking treatment compared to a scenario with one large peak.

Original language	English
Title of host publication	Advances in Social Simulation - Proceedings of the 16th Social Simulation Conference
Editors	Marcin Czupryna, Bogumił Kamiński
Publisher	Springer Science and Business Media B.V.
Pages	379-391
Number of pages	13
ISBN (Print)	9783030928421
DOIs	https://doi.org/10.1007/978-3-030-92843-8_29
Publication status	Published - 2022
Event	16th Social Simulation Conference, SSC 2021 - Kraków, Poland Duration: 20 Sep 2021 → 24 Sep 2021

Publication series

Name	Springer Proceedings in Complexity
ISSN (Print)	2213-8684
ISSN (Electronic)	2213-8692

Conference

Conference	16th Social Simulation Conference, SSC 2021
Country/Territory	Poland
City	Kraków
Period	20/09/21 → 24/09/21

Keywords

Agent-based model
COVID-19
Hybrid model
Stroke

Access to Document

10.1007/978-3-030-92843-8_29Licence: Unspecified

Cite this

Hunter, E., McGarry, B. L., & Kelleher, J. D. (2022). Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model. In M. Czupryna, & B. Kamiński (Eds.), Advances in Social Simulation - Proceedings of the 16th Social Simulation Conference (pp. 379-391). (Springer Proceedings in Complexity). Springer Science and Business Media B.V.. https://doi.org/10.1007/978-3-030-92843-8_29

Hunter, Elizabeth ; McGarry, Bryony L. ; Kelleher, John D. / Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model. Advances in Social Simulation - Proceedings of the 16th Social Simulation Conference. editor / Marcin Czupryna ; Bogumił Kamiński. Springer Science and Business Media B.V., 2022. pp. 379-391 (Springer Proceedings in Complexity).

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title = "Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model",

abstract = "COVID-19 has caused strain on healthcare systems worldwide and concern within the population over this strain and the chances of becoming infected has reduced the likelihood of people seeking medical treatment for other health events. Stroke is a medical emergency and swift treatment can make a difference in outcomes. Understanding how concern over the COVID-19 pandemic impacts the time delay in seeking treatment after a stroke can help understand both the long-term cost implications and how to target individuals to remind them of the importance of seeking treatment. We present an agent-based model to simulate the delay in seeking treatment for stroke due to concerns over COVID-19 and show that small changes in behaviour impact the average delay in seeking treatment. We find that introducing control measures and having multiple smaller peaks of the pandemic results in less delay in seeking treatment compared to a scenario with one large peak.",

keywords = "Agent-based model, COVID-19, Hybrid model, Stroke",

author = "Elizabeth Hunter and McGarry, \{Bryony L.\} and Kelleher, \{John D.\}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 16th Social Simulation Conference, SSC 2021 ; Conference date: 20-09-2021 Through 24-09-2021",

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language = "English",

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Hunter, E, McGarry, BL & Kelleher, JD 2022, Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model. in M Czupryna & B Kamiński (eds), Advances in Social Simulation - Proceedings of the 16th Social Simulation Conference. Springer Proceedings in Complexity, Springer Science and Business Media B.V., pp. 379-391, 16th Social Simulation Conference, SSC 2021, Kraków, Poland, 20/09/21. https://doi.org/10.1007/978-3-030-92843-8_29

Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model. / Hunter, Elizabeth; McGarry, Bryony L.; Kelleher, John D.
Advances in Social Simulation - Proceedings of the 16th Social Simulation Conference. ed. / Marcin Czupryna; Bogumił Kamiński. Springer Science and Business Media B.V., 2022. p. 379-391 (Springer Proceedings in Complexity).

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

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Y1 - 2022

N2 - COVID-19 has caused strain on healthcare systems worldwide and concern within the population over this strain and the chances of becoming infected has reduced the likelihood of people seeking medical treatment for other health events. Stroke is a medical emergency and swift treatment can make a difference in outcomes. Understanding how concern over the COVID-19 pandemic impacts the time delay in seeking treatment after a stroke can help understand both the long-term cost implications and how to target individuals to remind them of the importance of seeking treatment. We present an agent-based model to simulate the delay in seeking treatment for stroke due to concerns over COVID-19 and show that small changes in behaviour impact the average delay in seeking treatment. We find that introducing control measures and having multiple smaller peaks of the pandemic results in less delay in seeking treatment compared to a scenario with one large peak.

AB - COVID-19 has caused strain on healthcare systems worldwide and concern within the population over this strain and the chances of becoming infected has reduced the likelihood of people seeking medical treatment for other health events. Stroke is a medical emergency and swift treatment can make a difference in outcomes. Understanding how concern over the COVID-19 pandemic impacts the time delay in seeking treatment after a stroke can help understand both the long-term cost implications and how to target individuals to remind them of the importance of seeking treatment. We present an agent-based model to simulate the delay in seeking treatment for stroke due to concerns over COVID-19 and show that small changes in behaviour impact the average delay in seeking treatment. We find that introducing control measures and having multiple smaller peaks of the pandemic results in less delay in seeking treatment compared to a scenario with one large peak.

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Hunter E, McGarry BL, Kelleher JD. Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model. In Czupryna M, Kamiński B, editors, Advances in Social Simulation - Proceedings of the 16th Social Simulation Conference. Springer Science and Business Media B.V. 2022. p. 379-391. (Springer Proceedings in Complexity). doi: 10.1007/978-3-030-92843-8_29