Population health interventions are complex, often implemented across sectors and characterized by interconnected challenges and interdependent solutions. They are also context-specific, respond to changes in the environment, and may not be restricted to the intended population. Complexity is one of several barriers to the economic evaluation of population health interventions, where critical economic evidence is often lacking or of low quality. Simulation models, a comprehensive method for studying complex systems, allows researchers to test hypotheses that are difficult, if not impossible, to test in the field. Dr. Sander will discuss data-driven simulation models in the context of evaluating complex interventions using vector-borne diseases as examples.
Presenter: Dr. Beate Sander
Beate Sander, PhD, is a Scientist at Public Health Ontario (PHO), Assistant Professor at the University of Toronto, Adjunct Faculty at York University, and Adjunct Scientist at the Institute for Clinical Evaluative Sciences (ICES).
Beate’s research interests lie in the area of economic evaluation with a focus on infectious diseases. She is leading multidisciplinary teams evaluating Zika and West Nile virus mitigation strategies using data-driven simulation models, and is linking laboratory with population-based administrative data, enabling novel approaches to study the burden of infectious diseases. Beate served on the board of the Society of Medical Decision Making (SMDM) and is an editorial board member of the “Medical Decision Making” journal. Beate provides scientific advice to decision-makers and advisory bodies and serves on scientific working groups and networks.
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