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Mathematical analysis of the global dynamics of a model for HTLV-I infection and ATL progression

dc.contributor.authorWang, Liancheng
dc.contributor.authorLi, Michael Y.
dc.contributor.authorKirschner, Denise E.
dc.date.accessioned2011-04-04T15:25:00Z
dc.date.accessioned2011-04-04T15:25:00Z
dc.date.available2011-04-04T15:25:00Zen_US
dc.date.issued2002-01-31
dc.identifier.citationMathematical Biosciences 179 (2002) 207–217 <http://hdl.handle.net/2027.42/83423>en_US
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/pubmed/12208616
dc.identifier.urihttps://hdl.handle.net/2027.42/83423
dc.description.abstractMathematical analysis is carried out that completely determines the global dynamics of a mathematical model for the transmission of human T-cell lymphotropic virus I (HTLV-I) infection and the development of adult T-cell leukemia (ATL). HTLV-I infection of healthy CD4+ T cells takes place through cell-to-cell contact with infected T cells. The infected T cells can remain latent and harbor virus for several years before virus production occurs. Actively infected T cells can infect other T cells and can convert to ATL cells, whose growth is assumed to follow a classical logistic growth function. Our analysis establishes that the global dynamics of T cells are completely determined by a basic reproduction number R0. If R0 <= 1, infected T cells always die out. If R0 > 1, HTLV-I infection becomes chronic, and a unique endemic equilibrium is globally stable in the interior of the feasible region. We also show that the equilibrium level of ATL-cell proliferation is higher when the HTLV-I infection of T cells is chronic than when it is acute.en_US
dc.language.isoen_USen_US
dc.publisherElsevier Science Inc.en_US
dc.subjectImmunological Modelsen_US
dc.subjectChronic HTLV-I Infectionen_US
dc.subjectAdult T-cell Leukemiaen_US
dc.subjectBasic Reproduction Numberen_US
dc.subjectGlobal Stabilityen_US
dc.titleMathematical analysis of the global dynamics of a model for HTLV-I infection and ATL progressionen_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.identifier.pmid12208616
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/83423/1/wang2002.pdf
dc.identifier.sourceMathematical Biosciencesen_US
dc.owningcollnameMicrobiology and Immunology, Department of


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