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Analyzing NJ COVID-19 responses with Control theory, extending a study from earlier this year.

Project Information

Data-facing, matlab, programming, programming-best-practices, programming-languages-and-software-support, Researcher-facing, simulations, tools-and-techniques
Project Status: Finishing Up
Project Region: CAREERS
Submitted By: Sean McQuade
Project Email: piccoli@camden.rutgers.edu
Project Institution: Rutgers-Camden
Anchor Institution: CR-Rutgers
Project Address: 303 Cooper St, Camden, NJ 08102
Camden, New Jersey. 08102

Mentors: Galen Collier, Sean McQuade
Students: Ryan Weightman

Project Description

The COVID-19 pandemic has infected every continent except Antarctica. Loss of life and crippling economic effects have been felt across the world. COVID-19 infection rates can be reduced through the use of testing, social distancing, and contact tracing. Each of these strategies requires a range of costs to apply. We use control theory and numerical optimization techniques with data from a variety of NJ-based sources to estimate how much each of each strategy should be applied within counties across the state in order to minimize the total cost. A student facilitator working on this project will help introduce the lab to the use of MATLAB for existing AMPL-based simulations. The student will use general computational skills and mathematical modeling techniques which will provide valuable experience with tools implemented by computational researchers today across many fields.

Information about the research associated with this project: https://rand.camden.rutgers.edu/2020/03/26/timing-county-hospital-bed-shortfall-during-covid-19/

Information about the Piccoli Lab: https://piccoli.camden.rutgers.edu/

Additional Resources

Launch Presentation:

Project Information

Data-facing, matlab, programming, programming-best-practices, programming-languages-and-software-support, Researcher-facing, simulations, tools-and-techniques
Project Status: Finishing Up
Project Region: CAREERS
Submitted By: Sean McQuade
Project Email: piccoli@camden.rutgers.edu
Project Institution: Rutgers-Camden
Anchor Institution: CR-Rutgers
Project Address: 303 Cooper St, Camden, NJ 08102
Camden, New Jersey. 08102

Mentors: Galen Collier, Sean McQuade
Students: Ryan Weightman

Project Description

The COVID-19 pandemic has infected every continent except Antarctica. Loss of life and crippling economic effects have been felt across the world. COVID-19 infection rates can be reduced through the use of testing, social distancing, and contact tracing. Each of these strategies requires a range of costs to apply. We use control theory and numerical optimization techniques with data from a variety of NJ-based sources to estimate how much each of each strategy should be applied within counties across the state in order to minimize the total cost. A student facilitator working on this project will help introduce the lab to the use of MATLAB for existing AMPL-based simulations. The student will use general computational skills and mathematical modeling techniques which will provide valuable experience with tools implemented by computational researchers today across many fields.

Information about the research associated with this project: https://rand.camden.rutgers.edu/2020/03/26/timing-county-hospital-bed-shortfall-during-covid-19/

Information about the Piccoli Lab: https://piccoli.camden.rutgers.edu/

Additional Resources

Launch Presentation: