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MIDAS Webinar: Recapping Applications of RTI’s COVID-19 Agent-Based Model during the COVID-19 Pandemic

April 29, 2022
online

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DATES:
April 29, 2022
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online
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The MIDAS Webinar Series features research by MIDAS members, and is open to the public. 

Date: Friday, April 29th, 2022
Time: 12:00pm – 1:00pm Eastern (USA)

Topic: Recapping Applications of RTI’s COVID-19 Agent-Based Model during the COVID-19 Pandemic

Speakers: Kasey Jones, Sandy Preiss, Joella Adams, and Emily Hadley, RTI International

Abstract: In 2020, RTI repurposed a geospatially explicit agent-based model (ABM) of North Carolina’s healthcare system to help public health stakeholders respond to the COVID-19 pandemic. We simulated COVID-19 cases, case severity, healthcare stays, and the potential interactions between different individuals.  Recently, we have worked to evaluate how different facility-level policies within nursing home facilities and short-term acute care settings impacted the number of undetected asymptomatic carriers of SARS-CoV-2 entering a healthcare facility environment. In addition, we used Centers for Medicare & Medicaid Services (CMS) publicly available data on healthcare staff hours and facilities worked to simulate healthcare worker networks to improve understanding of how staffing characteristics can potentially influence disease dynamics and risk of nosocomial transmission. During this presentation, we will recap the major analyses conducted over the previous year and discuss results and major findings.

Bios: 

  • Joella Adams is a research epidemiologist within RTI’s Center for Applied Public Health Research. She has expertise in the use of simulation modeling, cost-effectiveness analyses, and longitudinal cohort data to inform public policy. She has a PhD in Epidemiology from Brown University and Master’s in Public Health from Drexel University. 
  • Kasey Jones is a data scientist within RTI’s Center for Data Science. He has been working on applications of RTI’s North Carolina Modeling Infectious Diseases (NC MInD) ABM since it begin in 2018. He has a Master’s of Science in Analytics from North Carolina State University. 
  • Alexander (Sandy) Preiss is a data scientist within RTI’s Center for Data Science. Sandy has expertise in simulation modeling for a variety of health related topics and has worked on the NC MInD ABM since the beginning of the pandemic. He has both a Master’s of Arts in International Studies and a Master’s of Science in Analytics from North Carolina State University. 
  • Emily Hadley is a data scientist within RTI’s Center for Data Science. Emily led the model development of RTI’s COVID-19 ABM during the first year of the COVID-19 pandemic. She also lead an internal development effort to modernize RTIs approach for multiprocessing model runs in the cloud. She has a Master of Science in Analytics from North Carolina State University.

 

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