Urbana Campus Research Calendar

Back to Listing
This is alternative text for the image

Special Seminar test: Makrand Sinha, "Communication Complexity, Quantum Computing and Optimization: New Connections and Insights"

Event Type
Conference/Workshop
Sponsor
Sponsor 1, Sponsor 2, Sponsor 3
Location
Location
Virtual
wifi event
Date
Dec 31, 2021   8:30 am - 3:00 pm  
Speaker
Matus Telgarsky, Assistant Professor of Computer Science, University of Illinois at Urbana-Champaign
Cost
Free
Registration
Registration
Contact
Steve Kleinvehn
E-Mail
kleinveh@illinois.edu
Phone
217-244-7255
Views
2
Originating Calendar
Qtest - for demo only

Abstract: In Chicago and elsewhere across the U.S., Latinx and Black communities have experienced disproportionate morbidity and mortality from COVID-19, highlighting drastic health inequities. Testing and vaccination efforts need to be scaled up within communities disproportionately affected by economic vulnerability, housing instability, limited healthcare access, and incarceration. Agent-based models (ABMs) can be used to investigate the complex processes by which social determinants of health influence population-level COVID-19 transmission and mortality, and to conduct computational experiments to evaluate the effects of candidate policies or interventions. Through partnerships between the University of Chicago, Argonne National Laboratory, the Chicago Department of Public Health, and the Illinois COVID-19 Modeling Task Force, we combined multiple data sources to develop a locally informed, realistic, and statistically representative synthetic agent population, with attributes and processes that reflect real-world social and biomedical aspects of transmission. We built a stochastic ABM (CityCOVID) capable of modeling millions of agents representing the behaviors and social interactions, geographic locations, and hourly activities of the population of Chicago and surrounding areas. Transitions between disease states depend on agent attributes and exposure to infected individuals through co-location, placed-based risks, and protective behaviors. The model provides a platform for evaluating how social determinants of health impact COVID-19 transmission, testing, and vaccine uptake and testing optimal approaches to intervention deployment. We discuss implications for public health interventions and policies to address health inequities.

link for robots only