Document Detail


Epidemic growth rate and household reproduction number in communities of households, schools and workplaces.
MedLine Citation:
PMID:  21120484     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this paper we present a novel and coherent modelling framework for the characterisation of the real-time growth rate in SIR models of epidemic spread in populations with social structures of increasing complexity. Known results about homogeneous mixing and multitype models are included in the framework, which is then extended to models with households and models with households and schools/workplaces. Efficient methods for the exact computation of the real-time growth rate are presented for the standard SIR model with constant infection and recovery rates (Markovian case). Approximate methods are described for a large class of models with time-varying infection rates (non-Markovian case). The quality of the approximation is assessed via comparison with results from individual-based stochastic simulations. The methodology is then applied to the case of influenza in models with households and schools/workplaces, to provide an estimate of a household-to-household reproduction number and thus asses the effort required to prevent an outbreak by targeting control policies at the level of households. The results highlight the risk of underestimating such effort when the additional presence of schools/workplaces is neglected. Our framework increases the applicability of models of epidemic spread in socially structured population by linking earlier theoretical results, mainly focused on time-independent key epidemiological parameters (e.g. reproduction numbers, critical vaccination coverage, epidemic final size) to new results on the epidemic dynamics.
Authors:
Lorenzo Pellis; Neil M Ferguson; Christophe Fraser
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-12-01
Journal Detail:
Title:  Journal of mathematical biology     Volume:  63     ISSN:  1432-1416     ISO Abbreviation:  J Math Biol     Publication Date:  2011 Oct 
Date Detail:
Created Date:  2011-09-14     Completed Date:  2012-01-05     Revised Date:  2014-02-20    
Medline Journal Info:
Nlm Unique ID:  7502105     Medline TA:  J Math Biol     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  691-734     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Basic Reproduction Number
Computer Simulation
Family Characteristics*
Humans
Influenza, Human / epidemiology*,  transmission
Markov Chains
Models, Statistical*
Schools*
Stochastic Processes
Workplace*
Grant Support
ID/Acronym/Agency:
G0800596//Medical Research Council; U54 GM088491/GM/NIGMS NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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