A Small Community Model for the Transmission of Infectious Diseases: Comparison of School Closure as an Intervention in Individual-Based Models of an Influenza Pandemic
Authored by George J Milne, Jodie McVernon, Joel K Kelso, Heath A Kelly, Simon T Huband
Date Published: 2008
DOI: 10.1371/journal.pone.0004005
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Abstract
Background: In the absence of other evidence, modelling has been used
extensively to help policy makers plan for a potential future influenza
pandemic.
Method: We have constructed an individual based model of a small
community in the developed world with detail down to exact household
structure obtained from census collection datasets and precise
simulation of household demographics, movement within the community and
individual contact patterns. We modelled the spread of pandemic
influenza in this community and the effect on daily and final attack
rates of four social distancing measures: school closure, increased case
isolation, workplace non-attendance and community contact reduction. We
compared the modelled results of final attack rates in the absence of
any interventions and the effect of school closure as a single
intervention with other published individual based models of pandemic
influenza in the developed world.
Results: We showed that published individual based models estimate
similar final attack rates over a range of values for R(0) in a pandemic
where no interventions have been implemented; that multiple social
distancing measures applied early and continuously can be very effective
in interrupting transmission of the pandemic virus for R(0) values up to
2.5; and that different conclusions reached on the simulated benefit of
school closure in published models appear to result from differences in
assumptions about the timing and duration of school closure and flow-on
effects on other social contacts resulting from school closure.
Conclusion: Models of the spread and control of pandemic influenza have
the potential to assist policy makers with decisions about which control
strategies to adopt. However, attention needs to be given by policy
makers to the assumptions underpinning both the models and the control
strategies examined.
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