Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan

Short-term and large-scale full-population virus testing is crucial in containing the spread of the COVID-19 pandemic in China. However, the uneven distribution of health service facilities in terms of space and size may lead to prolonged crowding during testing, thus increasing the chance of virus...

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Autores principales: Xingyu Zhou, Jie Zhao, Duanya Zheng, Yang Yu, Lingbo Liu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/e7be230925a84438853cce6d5be5b53f
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spelling oai:doaj.org-article:e7be230925a84438853cce6d5be5b53f2021-11-25T17:45:26ZAgent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan10.3390/healthcare91115192227-9032https://doaj.org/article/e7be230925a84438853cce6d5be5b53f2021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9032/9/11/1519https://doaj.org/toc/2227-9032Short-term and large-scale full-population virus testing is crucial in containing the spread of the COVID-19 pandemic in China. However, the uneven distribution of health service facilities in terms of space and size may lead to prolonged crowding during testing, thus increasing the chance of virus cross-infection. Therefore, appropriate control of crowd exposure time in large-scale virus testing should be an important goal in the layout of urban community health facilities. This paper uses the Quanta concept and Wells-Riley model to define the “certain-exposure time” under low cross-infection rate. Then, an agent-based simulation model was used to simulate the reasonable screening efficiency of community health service facilities during certain-exposure time at different stages of the COVID-19 pandemic and under different screening processes. Eventually, the screening efficiency was evaluated for all community health service centers in Wuhan. During the early period of the pandemic, 23.13% of communities failed to complete virus testing of community residents within 2 h of certain-exposure time, leaving approximately 56.07% of the population unscreened; during the later period of the COVID-19 pandemic, approximately 53% of communities and 75% of residents could not be screened. The results can pinpoint the distribution of community health service centers with inadequate screening capacity, facilitate targeted policymaking and planning, and effectively curb COVID-19 cross-infection during screening.Xingyu ZhouJie ZhaoDuanya ZhengYang YuLingbo LiuMDPI AGarticlecertain-exposure timeagent-based traffic simulationcommunity health service facilitieslayout evaluationMedicineRENHealthcare, Vol 9, Iss 1519, p 1519 (2021)
institution DOAJ
collection DOAJ
language EN
topic certain-exposure time
agent-based traffic simulation
community health service facilities
layout evaluation
Medicine
R
spellingShingle certain-exposure time
agent-based traffic simulation
community health service facilities
layout evaluation
Medicine
R
Xingyu Zhou
Jie Zhao
Duanya Zheng
Yang Yu
Lingbo Liu
Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan
description Short-term and large-scale full-population virus testing is crucial in containing the spread of the COVID-19 pandemic in China. However, the uneven distribution of health service facilities in terms of space and size may lead to prolonged crowding during testing, thus increasing the chance of virus cross-infection. Therefore, appropriate control of crowd exposure time in large-scale virus testing should be an important goal in the layout of urban community health facilities. This paper uses the Quanta concept and Wells-Riley model to define the “certain-exposure time” under low cross-infection rate. Then, an agent-based simulation model was used to simulate the reasonable screening efficiency of community health service facilities during certain-exposure time at different stages of the COVID-19 pandemic and under different screening processes. Eventually, the screening efficiency was evaluated for all community health service centers in Wuhan. During the early period of the pandemic, 23.13% of communities failed to complete virus testing of community residents within 2 h of certain-exposure time, leaving approximately 56.07% of the population unscreened; during the later period of the COVID-19 pandemic, approximately 53% of communities and 75% of residents could not be screened. The results can pinpoint the distribution of community health service centers with inadequate screening capacity, facilitate targeted policymaking and planning, and effectively curb COVID-19 cross-infection during screening.
format article
author Xingyu Zhou
Jie Zhao
Duanya Zheng
Yang Yu
Lingbo Liu
author_facet Xingyu Zhou
Jie Zhao
Duanya Zheng
Yang Yu
Lingbo Liu
author_sort Xingyu Zhou
title Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan
title_short Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan
title_full Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan
title_fullStr Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan
title_full_unstemmed Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan
title_sort agent-based simulation of virus testing in certain-exposure time through community health service centers’ evaluation—a case study of wuhan
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/e7be230925a84438853cce6d5be5b53f
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