Mathematical Biology

Antibiotic Drug Resistance. Modelling Human Behavioural Interactions and its Socioeconomic Impact Antibiotic drug resistance is a global crisis today. The deleterious impact of this crisis is acting relatively in higher degrees on poor nations compared to developed countries in the world. Low economy, higher healthcare expenses, and lack of awareness accelerate this emergence of resistance …

A novel integration of fine scale ecological data, high-resolution precision mapping, and epidemiological models to improve control of schistosomiasis dynamics Eliminating human parasitic disease often requires interrupting complex transmission pathways. Even when drugs to treat people are available, disease control can be difficult if the parasite can persist in nonhuman hosts. In my talk, I …

Optimal control for management of aquatic population models Optimal control techniques of ordinary and partial differential equations will be introduced to consider management strategies for aquatic populations. In the first example, managing invasive species in rivers can be assisted by adjustment of flow rates. Control of a flow rate in a partial differential equation model …

Mathematical modelling of the transmission dynamics of opisthrochiasis The 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 …

The effect of myeloid-derived suppressor cells on glioblastoma-immune dynamics Despite 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 …

Statistical Adjustment for Reporting Bias in Surveillance Data of Infectious Diseases Reporting bias is common in the surveillance of infectious diseases and takes different forms. A typical example is that outbreaks are investigated only if the number of cases exceeds a prespecified threshold. Another example is that most outbreak investigations only survey cases, ignoring individuals …

Join us for a lively exploration of the math-bio interface The Symposium will host daily panel discussion about important issues in math-bio research and traineeship. How can we productively embed ourselves in a second discipline? What paths have led to successful math-bio careers in academia? In industry? Support the next generation of math-bio researchers Following …