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Quantifying HTLV‐I dynamics
Author(s) -
Asquith Becca,
Bangham Charles R M
Publication year - 2007
Publication title -
immunology and cell biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.999
H-Index - 104
eISSN - 1440-1711
pISSN - 0818-9641
DOI - 10.1038/sj.icb.7100050
Subject(s) - biology , computer science , virology
Despite significant advances in our understanding of the immune response to persistent viruses like human T‐cell lymphotropic virus type I (HTLV‐I), many important questions remain unanswered. Mathematical modelling enables us to interpret and synthesise diverse experimental data in new ways and thus can contribute to our understanding. Here, we review recent advances in mathematical modelling of HTLV‐I infection and illustrate how mathematics has enabled us to identify factors that determine an individual's viral burden and risk of developing HTLV‐I‐associated diseases.