Julie Swann
Department of Industrial and Systems Engineering
North Carolina State University

Analytics to Promote an Efficient, Effective, and Equitable Response to the Covid-19 Pandemic
Planning and response to the Covid-19 pandemic is complex but can be informed by analytics and mathematical modeling along with knowledge of public health and supply chain contexts. This talk will summarize disease modeling embedded in a Covid-19 network simulation, highlighting recent results analyzing pharmaceutical and other interventions as well as potential future scenarios. The talk will provide an overview of how the public health system in the US allocates and distributes Covid-19 vaccine along with potential pitfalls and areas for improvement. The talk will discuss several areas where analytics such as from OR and statistics is impacting efficiency, effectiveness, and equity.

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