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Revisiting Early Models of the host-pathogen interactions in HIV infection

dc.contributor.authorCovert, D.
dc.contributor.authorKirschner, Denise E.
dc.date.accessioned2011-04-21T12:50:03Z
dc.date.available2011-04-21T12:50:03Z
dc.date.issued2000
dc.identifier.citationComments on Theoretical Biology, 5:383-411, 2000 <http://hdl.handle.net/2027.42/83541>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/83541
dc.description.abstractThe interactions between infectious pathogens and the immune system have been mathematically modeled for numerous diseases. Human immunodeficiency virus (HIV), the agent that causes AIDS, has been modeled most extensively. In 1986, three years after HIV was isolated, investigators produced the first mathematical description of its pathogenesis. Since that time modelers have steadily developed more sophisticated systems that have brought the field of mathematical modeling to the consciousness of virologists and immunologists. In this paper we review five of the first attempts of modeling HIV and the immune system. We consider these models in their own right as predictors for CD4+ T-cell depletion and viral growth, as records of the immunovirological understanding of the day, and as forerunners of the current generation of models.en_US
dc.language.isoen_USen_US
dc.publisherOverseas Publishers Associationen_US
dc.subjectMathematical Modelingen_US
dc.subjectHIVen_US
dc.subjectHuman Immune Systemen_US
dc.subjectNumerical Simulationsen_US
dc.titleRevisiting Early Models of the host-pathogen interactions in HIV infectionen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMicrobiology and Immunology
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumMicrobiology and Immunology, Department ofen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/83541/1/Covert-Kirschner-2000.pdf
dc.identifier.sourceComments on Theoretical Biologyen_US
dc.owningcollnameMicrobiology and Immunology, Department of


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