Literature DB >> 17251145

A model for the spread and control of pandemic influenza in an isolated geographical region.

M G Roberts1, M Baker, L C Jennings, G Sertsou, N Wilson.   

Abstract

In the event of an influenza pandemic, the most probable way in which the virus would be introduced to an isolated geographical area is by an infected traveller. We use a mathematical model, structured on the location at which infection occurs and based on published parameters for influenza, to describe an epidemic in a community of one million people. The model is then modified to reflect a variety of control strategies based on social distancing measures, targeted antiviral treatment and antiviral prophylaxis and home quarantine, and the effectiveness of the strategies is compared. The results suggest that the only single strategy that would be successful in preventing an epidemic (with R0=2.0) is targeted antiviral treatment and prophylaxis, and that closing schools combined with either closing work places or home quarantine would only prevent such an epidemic if these strategies were combined with a modest level of antiviral coverage.

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Year:  2007        PMID: 17251145      PMCID: PMC2359860          DOI: 10.1098/rsif.2006.0176

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  14 in total

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4.  Containing pandemic influenza at the source.

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5.  An integral equation model for the control of a smallpox outbreak.

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6.  Mitigation strategies for pandemic influenza in the United States.

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7.  Containing pandemic influenza with antiviral agents.

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9.  Reducing the impact of the next influenza pandemic using household-based public health interventions.

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10.  Strategies for mitigating an influenza pandemic.

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  19 in total

1.  The pluses and minuses of R0.

Authors:  M G Roberts
Journal:  J R Soc Interface       Date:  2007-10-22       Impact factor: 4.118

2.  Threshold parameters for a model of epidemic spread among households and workplaces.

Authors:  L Pellis; N M Ferguson; C Fraser
Journal:  J R Soc Interface       Date:  2009-02-25       Impact factor: 4.118

3.  Epidemic models with uncertainty in the reproduction number.

Authors:  M G Roberts
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4.  Analysis of the effectiveness of interventions used during the 2009 A/H1N1 influenza pandemic.

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5.  Scenarios of diffusion and control of an influenza pandemic in Italy.

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6.  Probabilistic uncertainty analysis of epidemiological modeling to guide public health intervention policy.

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Review 8.  A systematic review to identify areas of enhancements of pandemic simulation models for operational use at provincial and local levels.

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9.  Household structure and infectious disease transmission.

Authors:  T House; M J Keeling
Journal:  Epidemiol Infect       Date:  2008-10-08       Impact factor: 2.451

10.  Model-consistent estimation of the basic reproduction number from the incidence of an emerging infection.

Authors:  M G Roberts; J A P Heesterbeek
Journal:  J Math Biol       Date:  2007-08-08       Impact factor: 2.259

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