Modeling the effects of prior infection on vaccine efficacy

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We performed computer simulations to study the effects of prior infection on vaccine efficacy. We injected three antigens sequentially. The first antigen, designated the prior, represented a prior infection or vaccination. The second antigen, the vaccine, represented a single component of the trivalent influenza vaccine. The third antigen, the epidemic, represented challenge by an epidemic strain. For a fixed vaccine to epidemic strain cross-reactivities to the vaccine and to the epidemic strains. We found that, for many cross-reactivities, vaccination, when it had been preceded by a prior infection, provided more protection than vaccination alone. However, at some cross-reactivities, the prior ... continued below

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8 p.

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Smith, D. J.; Forrest, S.; Ackley, D. H. & Perelson, A. S. November 1, 1997.

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Description

We performed computer simulations to study the effects of prior infection on vaccine efficacy. We injected three antigens sequentially. The first antigen, designated the prior, represented a prior infection or vaccination. The second antigen, the vaccine, represented a single component of the trivalent influenza vaccine. The third antigen, the epidemic, represented challenge by an epidemic strain. For a fixed vaccine to epidemic strain cross-reactivities to the vaccine and to the epidemic strains. We found that, for many cross-reactivities, vaccination, when it had been preceded by a prior infection, provided more protection than vaccination alone. However, at some cross-reactivities, the prior infection reduced protection by clearing the vaccine before it had the chance to produce protective memory. The cross-reactivities between the prior, vaccine and epidemic strains played a major role in determining vaccine efficacy. This work has applications to understanding vaccination against viruses such as influenza that are continually mutating.

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8 p.

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OSTI as DE98000833

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  • IEEE international conference on systems, man and cybernetics, Orlando, FL (United States), 12-15 Oct 1997

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  • Other: DE98000833
  • Report No.: LA-UR--97-2618
  • Report No.: CONF-971068--
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 542068
  • Archival Resource Key: ark:/67531/metadc691505

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Office of Scientific & Technical Information Technical Reports

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  • November 1, 1997

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  • Aug. 14, 2015, 8:43 a.m.

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  • May 23, 2016, 2:12 p.m.

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Smith, D. J.; Forrest, S.; Ackley, D. H. & Perelson, A. S. Modeling the effects of prior infection on vaccine efficacy, article, November 1, 1997; New Mexico. (digital.library.unt.edu/ark:/67531/metadc691505/: accessed October 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.