Using Dynamic Models and Empirical COVID-19 Data to Showcase Effective Pandemic Prevention Measures

Woolverton, Kade E.; Nikulin, Ivan I.; Withington, Matthew J.

Student Work

Using Dynamic Models and Empirical COVID-19 Data to Showcase Effective Pandemic Prevention Measures Public

Pandemics, such as COVID-19, transcend borders and require adequate intervention measures from countries if they are to be contained. In collaboration with students and professors from the Financial University in Moscow, our team assessed six major countries’ strategies for mitigating virus spread and developed pandemic models using AnyLogic, a dynamic modeling application, and Microsoft Excel. The international research and interactive models informed recommendations to governments on the following effective response protocols: contact tracing, prompt widespread testing, and uniform quarantining.

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