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Modeling COVID-19 Dynamics and Patterns Across New Jersey: Assessing Effects of Heterogeneities, Exposure Controls, and Social and Environmental Factors

February 16, 2021 @ 1:00 pm - 2:30 pm

The New Jersey Alliance for Clinical and Translational Science (NJACTS) is hosting a virtual event at 1 p.m. on February 16 as part of its Special Populations Core 2021 Webinar Series.

Modeling COVID-19 Dynamics and Patterns Across New Jersey: Assessing Effects of Heterogeneities, Exposure Controls, and Social and Environmental Factors

Presented by Panos G. Georgopoulos, PhD, professor, Rutgers School of Public Health

From the event flyer: COVID-19 has created an unprecedented global public health crisis. Prior exposures to chemical, biological, and psychosocial stressors affect susceptibilities to the disease; data show that outcomes are strongly correlated with individual-level risk factors, such as age, sex, and medical history, as well as with multiple, spatially heterogeneous, demographic, environmental, and socioeconomic factors. Rutgers School of Health professor Panos Georgopoulos describes a computational framework that combines stochastic epidemic modeling with data science approaches to evaluate factors influencing disease spread and characterizes spatiotemporal patterns and risks of COVID-19 that remain important as vaccination efforts are being implemented. 

Online via Zoom

Free and open to the public. Click here to join via Zoom.

Details

Date:
February 16, 2021
Time:
1:00 pm - 2:30 pm
Website:
https://go.rutgers.edu/f4pih8ku

Organizer

NJACTS
View Organizer Website