Analysis of CDC social control measures using an agent-based simulation of an influenza epidemic in a city

<p>Abstract</p> <p>Background</p> <p>The transmission of infectious disease amongst the human population is a complex process which requires advanced, often individual-based, models to capture the space-time details observed in reality.</p> <p>Methods</p&...

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Main Authors: Ettema Dick, Atkinson Peter M, Yang Yong
Format: Article
Language:English
Published: BMC 2011-07-01
Series:BMC Infectious Diseases
Online Access:http://www.biomedcentral.com/1471-2334/11/199
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spelling doaj-c84f5453138f4730ad910dbbe83b25af2020-11-25T03:40:28ZengBMCBMC Infectious Diseases1471-23342011-07-0111119910.1186/1471-2334-11-199Analysis of CDC social control measures using an agent-based simulation of an influenza epidemic in a cityEttema DickAtkinson Peter MYang Yong<p>Abstract</p> <p>Background</p> <p>The transmission of infectious disease amongst the human population is a complex process which requires advanced, often individual-based, models to capture the space-time details observed in reality.</p> <p>Methods</p> <p>An Individual Space-Time Activity-based Model (ISTAM) was applied to simulate the effectiveness of non-pharmaceutical control measures including: (1) refraining from social activities, (2) school closure and (3) household quarantine, for a hypothetical influenza outbreak in an urban area.</p> <p>Results</p> <p>Amongst the set of control measures tested, refraining from social activities with various compliance levels was relatively ineffective. Household quarantine was very effective, especially for the peak number of cases and total number of cases, with large differences between compliance levels. Household quarantine resulted in a decrease in the peak number of cases from more than 300 to around 158 for a 100% compliance level, a decrease of about 48.7%. The delay in the outbreak peak was about 3 to 17 days. The total number of cases decreased to a range of 3635-5403, that is, 63.7%-94.7% of the baseline value.</p> <p>When coupling control measures, household quarantine together with school closure was the most effective strategy. The resulting space-time distribution of infection in different classes of activity bundles (AB) suggests that the epidemic outbreak is strengthened amongst children and then spread to adults. By sensitivity analysis, this study demonstrated that earlier implementation of control measures leads to greater efficacy. Also, for infectious diseases with larger basic reproduction number, the effectiveness of non-pharmaceutical measures was shown to be limited.</p> <p>Conclusions</p> <p>Simulated results showed that household quarantine was the most effective control measure, while school closure and household quarantine implemented together achieved the greatest benefit. Agent-based models should be applied in the future to evaluate the efficacy of control measures for a range of disease outbreaks in a range of settings given sufficient information about the given case and knowledge about the transmission processes at a fine scale.</p> http://www.biomedcentral.com/1471-2334/11/199
collection DOAJ
language English
format Article
sources DOAJ
author Ettema Dick
Atkinson Peter M
Yang Yong
spellingShingle Ettema Dick
Atkinson Peter M
Yang Yong
Analysis of CDC social control measures using an agent-based simulation of an influenza epidemic in a city
BMC Infectious Diseases
author_facet Ettema Dick
Atkinson Peter M
Yang Yong
author_sort Ettema Dick
title Analysis of CDC social control measures using an agent-based simulation of an influenza epidemic in a city
title_short Analysis of CDC social control measures using an agent-based simulation of an influenza epidemic in a city
title_full Analysis of CDC social control measures using an agent-based simulation of an influenza epidemic in a city
title_fullStr Analysis of CDC social control measures using an agent-based simulation of an influenza epidemic in a city
title_full_unstemmed Analysis of CDC social control measures using an agent-based simulation of an influenza epidemic in a city
title_sort analysis of cdc social control measures using an agent-based simulation of an influenza epidemic in a city
publisher BMC
series BMC Infectious Diseases
issn 1471-2334
publishDate 2011-07-01
description <p>Abstract</p> <p>Background</p> <p>The transmission of infectious disease amongst the human population is a complex process which requires advanced, often individual-based, models to capture the space-time details observed in reality.</p> <p>Methods</p> <p>An Individual Space-Time Activity-based Model (ISTAM) was applied to simulate the effectiveness of non-pharmaceutical control measures including: (1) refraining from social activities, (2) school closure and (3) household quarantine, for a hypothetical influenza outbreak in an urban area.</p> <p>Results</p> <p>Amongst the set of control measures tested, refraining from social activities with various compliance levels was relatively ineffective. Household quarantine was very effective, especially for the peak number of cases and total number of cases, with large differences between compliance levels. Household quarantine resulted in a decrease in the peak number of cases from more than 300 to around 158 for a 100% compliance level, a decrease of about 48.7%. The delay in the outbreak peak was about 3 to 17 days. The total number of cases decreased to a range of 3635-5403, that is, 63.7%-94.7% of the baseline value.</p> <p>When coupling control measures, household quarantine together with school closure was the most effective strategy. The resulting space-time distribution of infection in different classes of activity bundles (AB) suggests that the epidemic outbreak is strengthened amongst children and then spread to adults. By sensitivity analysis, this study demonstrated that earlier implementation of control measures leads to greater efficacy. Also, for infectious diseases with larger basic reproduction number, the effectiveness of non-pharmaceutical measures was shown to be limited.</p> <p>Conclusions</p> <p>Simulated results showed that household quarantine was the most effective control measure, while school closure and household quarantine implemented together achieved the greatest benefit. Agent-based models should be applied in the future to evaluate the efficacy of control measures for a range of disease outbreaks in a range of settings given sufficient information about the given case and knowledge about the transmission processes at a fine scale.</p>
url http://www.biomedcentral.com/1471-2334/11/199
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