We introduce a novel mathematical model that effectively incorporates contact tracing in a realistic distribution mechanism for antiviral drugs in an influenza pandemic scenario. A strategy focused on targeted provision of post-exposure prophylaxis, rather than treatment, will provide the greatest chance of minimising the impact of an influenza pandemic. Targeted post-exposure prophylaxis delays the onset of the pandemic and for a wide range of parameter values, a delay of the order of 6-18 months may be achievable. This may provide enough time to develop and distribute a vaccine. In contrast, a treatment based strategy typically does not delay the onset of a pandemic by an appreciable amount and, in general, is not capable of significantly reducing the attack rate from baseline. (C) 2007 Elsevier Inc. All rights reserved.
机构:
Statistics, Modelling and Bioinformatics Department, Health Protection Agency Centre for Infections, London NW9 5EQStatistics, Modelling and Bioinformatics Department, Health Protection Agency Centre for Infections, London NW9 5EQ
Edmunds W.J.
Kafatos G.
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Statistics, Modelling and Bioinformatics Department, Health Protection Agency Centre for Infections, London NW9 5EQStatistics, Modelling and Bioinformatics Department, Health Protection Agency Centre for Infections, London NW9 5EQ
Kafatos G.
Wallinga J.
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Department of Infectious Diseases Epidemiology, National Institute of Public Health and the Environment (RIVM), 3720 BA BilthovenStatistics, Modelling and Bioinformatics Department, Health Protection Agency Centre for Infections, London NW9 5EQ
Wallinga J.
Mossong J.R.
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Laboratoire National de Santé, L-1011, LuxembourgStatistics, Modelling and Bioinformatics Department, Health Protection Agency Centre for Infections, London NW9 5EQ
机构:
Statistics, Modelling and Bioinformatics Department, Health Protection Agency Centre for Infections, London NW9 5EQStatistics, Modelling and Bioinformatics Department, Health Protection Agency Centre for Infections, London NW9 5EQ
Edmunds W.J.
Kafatos G.
论文数: 0引用数: 0
h-index: 0
机构:
Statistics, Modelling and Bioinformatics Department, Health Protection Agency Centre for Infections, London NW9 5EQStatistics, Modelling and Bioinformatics Department, Health Protection Agency Centre for Infections, London NW9 5EQ
Kafatos G.
Wallinga J.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Infectious Diseases Epidemiology, National Institute of Public Health and the Environment (RIVM), 3720 BA BilthovenStatistics, Modelling and Bioinformatics Department, Health Protection Agency Centre for Infections, London NW9 5EQ
Wallinga J.
Mossong J.R.
论文数: 0引用数: 0
h-index: 0
机构:
Laboratoire National de Santé, L-1011, LuxembourgStatistics, Modelling and Bioinformatics Department, Health Protection Agency Centre for Infections, London NW9 5EQ