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The large-scale use of antivirals during influenza pandemics poses a significant selection pressure for drug-resistant pathogens to emerge and spread in a population. This requires treatment strategies to minimize total

The large-scale use of antivirals during influenza pandemics poses a significant selection pressure for drug-resistant pathogens to emerge and spread in a population. This requires treatment strategies to minimize total infections as well as the emergence of resistance. Here we propose a mathematical model in which individuals infected with wild-type influenza, if treated, can develop de novo resistance and further spread the resistant pathogen.

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    Date Created
    • 2013-03-29
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.1371/journal.pone.0059529
    • Identifier Type
      International standard serial number
      Identifier Value
      1045-3830
    • Identifier Type
      International standard serial number
      Identifier Value
      1939-1560

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    Patterson-Lomba, O., Althouse, B. M., Goerg, G. M., & Hébert-Dufresne, L. (2013). Optimizing Treatment Regimes to Hinder Antiviral Resistance in Influenza across Time Scales. PLoS ONE, 8(3). doi:10.1371/journal.pone.0059529

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