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COVID-19, artificial intelligence and the benefits of multi-method modeling

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Dr. Lauren Neal, leader of research and consulting firm Booz Allen’s health AI practice Dr. Lauren Neal , leader of research and consulting firm Booz Allen’s health AI practice, is a proponent of taking a multi-method approach to modeling COVID-19 disease dynamics in artificial intelligence.

She believes a multi-method approach provides a better understanding of COVID-19 and other infectious diseases – how they spread and impact communities, with the goal of being better prepared for future public health threats.

She also believes a “virtual laboratory” can be used to investigate a wide range of what-if scenarios, and easily adapted to future high-consequence public health threats.

Healthcare IT News sat down with Neal to talk about these approaches and how AI can help with the COVID-19 pandemic.

Q. When it comes to artificial intelligence and COVID-19, how is a multi-method approach to modeling COVID-19 disease dynamics better than other approaches?

A. We have long employed simulation modeling to further increase our understanding of complex infectious diseases as well as their development, spread dynamics and potential treatments. Examples include models for zoonotic diseases such as Zika, Ebola, West Nile Virus, SARS, MERS and the recent COVID-19.Two modeling techniques, system dynamics (SD) and agent-based […]

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