A reminder that all participants need to register in order to participate in the fall seminar series. The link to the registration is here: https://osu.zoom.us/meeting/register/tJwqc-6hqj8pHNNLvJoQiEIkYeLs8tuoakuR
Dr. Joe Tien, OSU Associate Professor of Mathematics
Title of Talk: COVID-19 dynamics in an Ohio prison
Abstract:
Incarcerated individuals are a vulnerable population for SARS-CoV-2 infection. Transmission can be extensive, and outbreak sizes within correctional facilities can be high. For example, mass testing at Marion Correctional Institution revealed that more than 80% of prisoners had been infected less than three weeks after the first reported prisoner case. I will discuss the epidemiological implications of these dynamics, using publicly available data and mathematical models. This is joint work with Wasiur KhudaBukhsh, Sat Kartar Khalsa, Grzegorz Rempala, and Eben Kenah.
Dr. Sam Clark, OSU Professor of Sociology
Title of Talk: Estimating CV19 Prevalence and Excess Deaths in the State of Ohio
Abstract:
This micro presentation will briefly describe some aspects of our OSU-based team’s efforts over the summer to develop an excess deaths model for the State of Ohio and to generate estimates of past and current CV19 prevalence from a CV19 seroprevalence household survey that the team conducted in the State of Ohio over the summer.
Dr. Elizabeth Root, OSU Professor of Geography and Epidemiology
Title of Talk: COVID-19 dynamics across the Urban-Rural continuum
Abstract:
The COVID-19 pandemic has affected urban, suburban and rural communities in very different ways. The initial months of the epidemic disproportionately affected large urban areas, as evidenced by significantly higher case rates and more rapid increase in identified cases. But as urban communities have adapted through social isolation and mask wearing, transmission has slowed while case rates have continued to climb in Ohio’s rural areas. I will discuss the dynamics of the COVID-19 epidemic in rural vs. urban communities across Ohio, and use data from the new Ohio COVID Survey to explore how differences in social distancing, mask wearing, and other public health measures might contribute to these urban/rural dynamics.
