{"id":2667,"date":"2022-03-20T13:10:04","date_gmt":"2022-03-20T20:10:04","guid":{"rendered":"https:\/\/colleges.claremont.edu\/ccms\/?post_type=tribe_events&p=2667"},"modified":"2022-03-20T13:11:04","modified_gmt":"2022-03-20T20:11:04","slug":"the-6-cs-covid-and-the-5-claremont-colleges-prof-maryann-e-hohn","status":"publish","type":"tribe_events","link":"https:\/\/colleges.claremont.edu\/ccms\/event\/the-6-cs-covid-and-the-5-claremont-colleges-prof-maryann-e-hohn\/","title":{"rendered":"The 6 Cs – Covid and the 5 Claremont Colleges (Prof. Maryann E. Hohn)"},"content":{"rendered":"

Title:<\/strong> The 6 Cs – Covid and the 5 Claremont Colleges<\/p>\n

Speaker:<\/strong> Maryann E. Hohn, Department of Mathematics and Statistics, Pomona College<\/span><\/p>\n

Abstract:\u00a0<\/strong>The Claremont Colleges’ (5Cs) environment consists of students, faculty, and staff that congregate together in indoor spaces, creating a higher risk for possible COVID-19 infection.\u00a0 Additionally, a majority of the students live on campus, presenting a relatively closed campus environment that limits students\u2019 interactions with their greater community. However, the close knit quarters in which students live may contribute to a rise in infections that may ultimately reach other more vulnerable populations on the campuses such as faculty and staff.<\/span><\/p>\n

\u00a0<\/strong><\/p>\n

In this talk, we present several models of COVID-19 spread at the 5Cs.\u00a0 We start with an early model consisting of several interconnected modified SEIR differential equations to investigate the dynamics between different populations at the 5Cs and the influence of mitigation techniques such as students adhering to health protocols and contact tracing. With the addition of vaccines, we show how the model changed, how student researchers are contributing to our models, and how a few students created their own.<\/span>
\n<\/strong><\/p>\n

\n
Dr. Maryann Hohn is a Visiting Assistant Professor of Mathematics and Statistics at Pomona College.\u00a0 Her research interests lie in mathematical modeling and data analysis to solve societal problems.\u00a0 She utilizes a variety of mathematical tools such as stochastic processes, PDEs, numerical analysis, and graph theory.\u00a0 She also actively supports groups like AWM that support students in underrepresented groups, mentors both undergraduate and graduate students, and advises undergraduate researchers. <\/span><\/div>\n","protected":false},"excerpt":{"rendered":"

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