An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical Interventions
The traditional agent-based model requires high computing power of the central processing unit. Thus, an improved agent-based model combined with the discrete event simulation method is proposed. The result of the equation-based Susceptible-Exposed-Infective-Asymptomatic-Recovered (SEIAR) model with...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9541402/ |
| _version_ | 1818738883703078912 |
|---|---|
| author | Hongbin Qiu Yong Chen Sirui Ding Wenchao Yi Ruifeng Lv Cheng Wang |
| author_facet | Hongbin Qiu Yong Chen Sirui Ding Wenchao Yi Ruifeng Lv Cheng Wang |
| author_sort | Hongbin Qiu |
| collection | DOAJ |
| description | The traditional agent-based model requires high computing power of the central processing unit. Thus, an improved agent-based model combined with the discrete event simulation method is proposed. The result of the equation-based Susceptible-Exposed-Infective-Asymptomatic-Recovered (SEIAR) model with the same parameter combination, which has been demonstrated to be effective, is used to verify the validity of this improved agent-based model. Additionally, an analysis based on simulation results of the Contact Tracing Measure (CTM), Location-Based Checking-Testing Measure (LCTM), Lockdown Measure (LM), Mobile Cabin Isolation and Hospital Measure (MCHM) is presented. The simulation results show that implementing long-term lockdown measures has the best effect on epidemic control. Moreover, according to the simulation results, we inferred that using only nonpharmaceutical epidemic prevention measures may result in a second outbreak of COVID-19 owing to the risk of asymptomatic transmission. |
| first_indexed | 2024-12-18T01:16:01Z |
| format | Article |
| id | doaj.art-52e6635d58714f3c949077224885a128 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-18T01:16:01Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-52e6635d58714f3c949077224885a1282022-12-21T21:25:57ZengIEEEIEEE Access2169-35362021-01-01914372114373310.1109/ACCESS.2021.31142269541402An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical InterventionsHongbin Qiu0https://orcid.org/0000-0001-9530-0775Yong Chen1https://orcid.org/0000-0001-7778-2731Sirui Ding2Wenchao Yi3https://orcid.org/0000-0002-8643-287XRuifeng Lv4Cheng Wang5https://orcid.org/0000-0003-2475-1944College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, ChinaThe traditional agent-based model requires high computing power of the central processing unit. Thus, an improved agent-based model combined with the discrete event simulation method is proposed. The result of the equation-based Susceptible-Exposed-Infective-Asymptomatic-Recovered (SEIAR) model with the same parameter combination, which has been demonstrated to be effective, is used to verify the validity of this improved agent-based model. Additionally, an analysis based on simulation results of the Contact Tracing Measure (CTM), Location-Based Checking-Testing Measure (LCTM), Lockdown Measure (LM), Mobile Cabin Isolation and Hospital Measure (MCHM) is presented. The simulation results show that implementing long-term lockdown measures has the best effect on epidemic control. Moreover, according to the simulation results, we inferred that using only nonpharmaceutical epidemic prevention measures may result in a second outbreak of COVID-19 owing to the risk of asymptomatic transmission.https://ieeexplore.ieee.org/document/9541402/Agent-based modelasymptomaticCOVID-19discrete event simulation |
| spellingShingle | Hongbin Qiu Yong Chen Sirui Ding Wenchao Yi Ruifeng Lv Cheng Wang An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical Interventions IEEE Access Agent-based model asymptomatic COVID-19 discrete event simulation |
| title | An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical Interventions |
| title_full | An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical Interventions |
| title_fullStr | An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical Interventions |
| title_full_unstemmed | An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical Interventions |
| title_short | An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical Interventions |
| title_sort | improved agent based model using discrete event simulation for nonpharmaceutical interventions |
| topic | Agent-based model asymptomatic COVID-19 discrete event simulation |
| url | https://ieeexplore.ieee.org/document/9541402/ |
| work_keys_str_mv | AT hongbinqiu animprovedagentbasedmodelusingdiscreteeventsimulationfornonpharmaceuticalinterventions AT yongchen animprovedagentbasedmodelusingdiscreteeventsimulationfornonpharmaceuticalinterventions AT siruiding animprovedagentbasedmodelusingdiscreteeventsimulationfornonpharmaceuticalinterventions AT wenchaoyi animprovedagentbasedmodelusingdiscreteeventsimulationfornonpharmaceuticalinterventions AT ruifenglv animprovedagentbasedmodelusingdiscreteeventsimulationfornonpharmaceuticalinterventions AT chengwang animprovedagentbasedmodelusingdiscreteeventsimulationfornonpharmaceuticalinterventions AT hongbinqiu improvedagentbasedmodelusingdiscreteeventsimulationfornonpharmaceuticalinterventions AT yongchen improvedagentbasedmodelusingdiscreteeventsimulationfornonpharmaceuticalinterventions AT siruiding improvedagentbasedmodelusingdiscreteeventsimulationfornonpharmaceuticalinterventions AT wenchaoyi improvedagentbasedmodelusingdiscreteeventsimulationfornonpharmaceuticalinterventions AT ruifenglv improvedagentbasedmodelusingdiscreteeventsimulationfornonpharmaceuticalinterventions AT chengwang improvedagentbasedmodelusingdiscreteeventsimulationfornonpharmaceuticalinterventions |