Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza

<p>Abstract</p> <p>Background</p> <p>Social distancing interventions such as school closure and prohibition of public gatherings are present in pandemic influenza preparedness plans. Predicting the effectiveness of intervention strategies in a pandemic is difficult. In...

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Main Authors: Kelly Heath, Milne George J, Kelso Joel K
Format: Article
Language:English
Published: BMC 2009-04-01
Series:BMC Public Health
Online Access:http://www.biomedcentral.com/1471-2458/9/117
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spelling doaj-42849ffafe6b4556964849736faee5e62020-11-24T20:55:14ZengBMCBMC Public Health1471-24582009-04-019111710.1186/1471-2458-9-117Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenzaKelly HeathMilne George JKelso Joel K<p>Abstract</p> <p>Background</p> <p>Social distancing interventions such as school closure and prohibition of public gatherings are present in pandemic influenza preparedness plans. Predicting the effectiveness of intervention strategies in a pandemic is difficult. In the absence of other evidence, computer simulation can be used to help policy makers plan for a potential future influenza pandemic. We conducted simulations of a small community to determine the magnitude and timing of activation that would be necessary for social distancing interventions to arrest a future pandemic.</p> <p>Methods</p> <p>We used a detailed, individual-based model of a real community with a population of approximately 30,000. We simulated the effect of four social distancing interventions: school closure, increased isolation of symptomatic individuals in their household, workplace nonattendance, and reduction of contact in the wider community. We simulated each of the intervention measures in isolation and in several combinations; and examined the effect of delays in the activation of interventions on the final and daily attack rates.</p> <p>Results</p> <p>For an epidemic with an R<sub>0 </sub>value of 1.5, a combination of all four social distancing measures could reduce the final attack rate from 33% to below 10% if introduced within 6 weeks from the introduction of the first case. In contrast, for an R<sub>0 </sub>of 2.5 these measures must be introduced within 2 weeks of the first case to achieve a similar reduction; delays of 2, 3 and 4 weeks resulted in final attack rates of 7%, 21% and 45% respectively. For an R<sub>0 </sub>of 3.5 the combination of all four measures could reduce the final attack rate from 73% to 16%, but only if introduced without delay; delays of 1, 2 or 3 weeks resulted in final attack rates of 19%, 35% or 63% respectively. For the higher R<sub>0 </sub>values no single measure has a significant impact on attack rates.</p> <p>Conclusion</p> <p>Our results suggest a critical role of social distancing in the potential control of a future pandemic and indicate that such interventions are capable of arresting influenza epidemic development, but only if they are used in combination, activated without delay and maintained for a relatively long period.</p> http://www.biomedcentral.com/1471-2458/9/117
collection DOAJ
language English
format Article
sources DOAJ
author Kelly Heath
Milne George J
Kelso Joel K
spellingShingle Kelly Heath
Milne George J
Kelso Joel K
Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza
BMC Public Health
author_facet Kelly Heath
Milne George J
Kelso Joel K
author_sort Kelly Heath
title Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza
title_short Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza
title_full Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza
title_fullStr Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza
title_full_unstemmed Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza
title_sort simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2009-04-01
description <p>Abstract</p> <p>Background</p> <p>Social distancing interventions such as school closure and prohibition of public gatherings are present in pandemic influenza preparedness plans. Predicting the effectiveness of intervention strategies in a pandemic is difficult. In the absence of other evidence, computer simulation can be used to help policy makers plan for a potential future influenza pandemic. We conducted simulations of a small community to determine the magnitude and timing of activation that would be necessary for social distancing interventions to arrest a future pandemic.</p> <p>Methods</p> <p>We used a detailed, individual-based model of a real community with a population of approximately 30,000. We simulated the effect of four social distancing interventions: school closure, increased isolation of symptomatic individuals in their household, workplace nonattendance, and reduction of contact in the wider community. We simulated each of the intervention measures in isolation and in several combinations; and examined the effect of delays in the activation of interventions on the final and daily attack rates.</p> <p>Results</p> <p>For an epidemic with an R<sub>0 </sub>value of 1.5, a combination of all four social distancing measures could reduce the final attack rate from 33% to below 10% if introduced within 6 weeks from the introduction of the first case. In contrast, for an R<sub>0 </sub>of 2.5 these measures must be introduced within 2 weeks of the first case to achieve a similar reduction; delays of 2, 3 and 4 weeks resulted in final attack rates of 7%, 21% and 45% respectively. For an R<sub>0 </sub>of 3.5 the combination of all four measures could reduce the final attack rate from 73% to 16%, but only if introduced without delay; delays of 1, 2 or 3 weeks resulted in final attack rates of 19%, 35% or 63% respectively. For the higher R<sub>0 </sub>values no single measure has a significant impact on attack rates.</p> <p>Conclusion</p> <p>Our results suggest a critical role of social distancing in the potential control of a future pandemic and indicate that such interventions are capable of arresting influenza epidemic development, but only if they are used in combination, activated without delay and maintained for a relatively long period.</p>
url http://www.biomedcentral.com/1471-2458/9/117
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