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2015 SRE Project

Development of Mathematical Models of Mycobacterium tuberculosis in Mice

Dr. Shigetoshi Eda
Dr. Vitaly Ganusov

Diya Sashidhar (Applied Mathematics, North Carolina State Univ.)
Jinchuan Wei (Math/Computer Science, Univ. of Minnesota, Twin Cities)
Riley Mummah (Biology, Statistics, Mathematics, The Pennsylvania State Univ.)

photo. When an individual is exposed to Mycobacterium tuberculosis (Mtb) three outcomes are possible: bacterial clearance, active disease or latent infection. It is generally thought most people exposed to Mtb become latently infected and carry the mycobacteria for life. How Mtb is maintained during this latent infection remains largely unknown. Mice provide a useful system to study this process. We will use experimental data coming from infection of mice with Mtb and mathematical modeling to determine the dynamics of the bacteria during the latent infection and the impact of antibiotics on bacterial clearance.


Abstract of project report (PDF)

Project group (from L): Dr. Shigetoshi Eda, Jinchuan Wei, Math/Computer Science, Univ. of Minnesota, Twin Cities, Diya Sashidhar, Applied Mathematics, North Carolina State Univ., and Riley Mummah, Biology, Statistics, Mathematics, The Pennsylvania State Univ.

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From 2008 until early 2021, NIMBioS was supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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