Public Health

Public Health Policy

We synthesize our findings from various modelling studies on infectious disease risk, ranging from MERS-CoV to Zika to Measles, to aid public health policy makers in their decision making.

Inferring the risk factors that drive outbreak dynamics

We exploit available epidemiological data, travel data, land use patterns, climate data, sociodemographic data, and ecological models within statistical and optimization-based frameworks to infer the most significant risk factors that contribute to infectious disease dynamics.  On this topic, we have ongoing collaborations in Sri Lanka and Australia, working closely with medical doctors and local health authorities to collect data and use modeling to better understand, predict and manage local dengue outbreaks.

Related Publications: (coming soon)