Presentation Title

Using Time-Dependent Sensitivity Analysis to Combat Tuberculosis

Faculty Mentor

Dr. Allison L. Lewis

Start Date

17-11-2018 8:45 AM

End Date

17-11-2018 9:00 AM

Location

C335

Session

Oral 1

Type of Presentation

Oral Talk

Subject Area

physical_mathematical_sciences

Abstract

Although many organizations throughout the world have worked tirelessly to control tuberculosis (TB) epidemics, no country has yet been able to eradicate the disease completely. In this talk, we present two compartmental models representing the spread of a TB epidemic throughout a population. The first is a general TB model; the second is an adaptation for regions in which HIV is prevalent, accounting for the effects of TB/HIV co-infection. Using active subspaces, we conduct time-dependent sensitivity analysis on both models to explore the significance of certain parameters with respect to the spread of TB. We use the results of this sensitivity analysis to determine the most effective strategies for treatment and prevention throughout the epidemic.

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Nov 17th, 8:45 AM Nov 17th, 9:00 AM

Using Time-Dependent Sensitivity Analysis to Combat Tuberculosis

C335

Although many organizations throughout the world have worked tirelessly to control tuberculosis (TB) epidemics, no country has yet been able to eradicate the disease completely. In this talk, we present two compartmental models representing the spread of a TB epidemic throughout a population. The first is a general TB model; the second is an adaptation for regions in which HIV is prevalent, accounting for the effects of TB/HIV co-infection. Using active subspaces, we conduct time-dependent sensitivity analysis on both models to explore the significance of certain parameters with respect to the spread of TB. We use the results of this sensitivity analysis to determine the most effective strategies for treatment and prevention throughout the epidemic.