Literature DB >> 19828505

Distribution of vaccine/antivirals and the 'least spread line' in a stratified population.

E Goldstein1, A Apolloni, B Lewis, J C Miller, M Macauley, S Eubank, M Lipsitch, J Wallinga.   

Abstract

We describe a prioritization scheme for an allocation of a sizeable quantity of vaccine or antivirals in a stratified population. The scheme builds on an optimal strategy for reducing the epidemic's initial growth rate in a stratified mass-action model. The strategy is tested on the EpiSims network describing interactions and influenza dynamics in the population of Utah, where the stratification we have chosen is by age (0-6, 7-13, 14-18, adults). No prior immunity information is available, thus everyone is assumed to be susceptible-this may be relevant, possibly with the exception of persons over 50, to the 2009 H1N1 influenza outbreak. We have found that the top priority in an allocation of a sizeable quantity of seasonal influenza vaccinations goes to young children (0-6), followed by teens (14-18), then children (7-13), with the adult share being quite low. These results, which rely on the structure of the EpiSims network, are compared with the current influenza vaccination coverage levels in the US population.

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Year:  2009        PMID: 19828505      PMCID: PMC2874227          DOI: 10.1098/rsif.2009.0393

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


  12 in total

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5.  Epidemics in heterogeneous populations: aspects of optimal vaccination policies.

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9.  Reproductive numbers, epidemic spread and control in a community of households.

Authors:  E Goldstein; K Paur; C Fraser; E Kenah; J Wallinga; M Lipsitch
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10.  Social contacts and mixing patterns relevant to the spread of infectious diseases.

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  29 in total

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2.  Prevalence of high-risk indications for influenza vaccine varies by age, race, and income.

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6.  Optimizing infectious disease interventions during an emerging epidemic.

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7.  Optimizing vaccine allocation at different points in time during an epidemic.

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9.  Optimal targeting of seasonal influenza vaccination toward younger ages is robust to parameter uncertainty.

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10.  Pros and cons of estimating the reproduction number from early epidemic growth rate of influenza A (H1N1) 2009.

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