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DTSTART;TZID=America/New_York:20211104T104000
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UID:1498-1636022400-1636025400@biomath.math.ufl.edu
SUMMARY:Nakul Chitnis (Swiss Tropical and Public Health Institute)
DESCRIPTION:Mathematical modelling of the transmission dynamics of opisthrochiasis\nThe trematode liver fluke (flat worm)\, Opisthorchis viverrini\, is prevalent in southeast Asia\, causing the chronic hepatobiliary disease\, opisthorchiasis. Long term infection can lead to the bile duct cancer\, cholangiocarcinoma\, which is typically fatal. We develop an ordinary differential equation (ODE) model of the transmission dynamics of O. viverrini through its life cycle in snails\, fish\, and humans; a second ODE model that includes potential transmission from reservoir hosts such as domestic cats and dogs; and a third partial differential equation (PDE) model that includes heterogeneity in age in humans. We calibrate these models to data collected from two communities in Khong Island in Southern Lao PDR\, using maximum likelihood estimates and Bayesian sampling-resampling methods. We define basic reproduction numbers and type-reproduction numbers for these models to show that humans can maintain the transmission cycle through snails and fish\, so interventions targeting humans with a sufficiently high coverage could eliminate transmission. Numerical simulations suggest that\, as compared to improved sanitation and behaviour change campaigns\, treating humans at least once a year increases the probability of achieving elimination and reduces the time to elimination. We finally develop a stochastic individual-based model that better captures heterogeneity in the intensity of infection in the human population and its subsequent impact on morbidity.
URL:https://biomath.math.ufl.edu/event/nakul-chitnis-swiss-tropical-and-public-health-institute/
LOCATION:Zoom\, To obtain the Zoom link\, please contact Hemaho Taboe at hemahobeaugtaboe@ufl.edu or Calistus Ngonghala at calistusnn@ufl.edu.
CATEGORIES:Fall 2021
ATTACH;FMTTYPE=image/jpeg:https://biomath.math.ufl.edu/wp-content/uploads/sites/607/chitnis_nakul.jpg
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DTSTART;TZID=America/New_York:20211118T104000
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DTSTAMP:20211116T150656Z
CREATED:20210817T204220Z
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UID:1500-1637232000-1637235000@biomath.math.ufl.edu
SUMMARY:Hannah Anderson (UF Mathematics)
DESCRIPTION:The effect of myeloid-derived suppressor cells on glioblastoma-immune dynamics\nDespite improvements in cancer therapies\, the current standard of care for glioblastoma (GBM) only confers a 5.1% five-year survival rate. A major reason for this poor prognosis is the brain cancer’s highly complex and immunosuppressive tumor microenvironment\, thus pointing researchers to novel immunotherapies. This talk seeks to develop a foundational treatment-free ODE model for future extensions to immunotherapy. Two mechanisms of immunosuppression addressed are the PD-1-PD-L1 blockade and the influx of myeloid-derived suppressor cells (MDSCs) into the tumor microenvironment—both of which inhibit T cells leading to rapid tumor progression. Numerical simulations of the GBM-immune dynamics model will be presented along with analysis. There will also be a special discussion of the Approximate Bayesian Computation (ABC) rejection method\, which can be used to characterize the parameter space.
URL:https://biomath.math.ufl.edu/event/hannah-anderson-uf-mathematics/
LOCATION:Zoom\, To obtain the Zoom link\, please contact Hemaho Taboe at hemahobeaugtaboe@ufl.edu or Calistus Ngonghala at calistusnn@ufl.edu.
CATEGORIES:Fall 2021
ATTACH;FMTTYPE=image/jpeg:https://biomath.math.ufl.edu/wp-content/uploads/sites/607/anderson_hannah.jpg
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