As the COVID-19 pandemic continues, the need for comprehensive data and up-to-date statistics is clear. Jason Bates, a professor in the Department of Electrical and Biomedical Engineering and in the Department of Medicine, facilitated a project involving a student coder and a team working to model the spread of the COVID-19 virus in Vermont.
Interacting contagious diseases like influenza and pneumonia follow the same complex spreading patterns as social trends. This new finding, published in the journal Nature Physics, could lead to better tracking and intervention when multiple diseases spread through a population at the same time.
Chaos typically tends to overwhelm people, not excite them.
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