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  • About This Project

    The research project aims to develop new quantitative framework and tools for public health decision makers and risk management professionals to assess COVID-19 pandemic risk and develop contingency and response plans.

    The work represents a collaborative effort by researchers from the University of Illinois at Urbana-Champaign (United States) and Nankai University (China). This website is maintained and regularly updated by Illinois Risk Lab. Model details and instructions can be found in "Pandemic risk management: resources contingency planning and allocation" by Chen et al. (2020) [Download] .

    We are open to professional partnership and sponsorship for this project, which provides invaluable experiential learning opportunity for student associates of Illinois Risk Lab. If you are interested in collaboration, please contact us using the form above.

    The tutorial for how to use this website is coming soon...

    Regional Parameters

    Compartment Initial Conditions

    Mild Infected Cases

    Severe Infected Cases

    ICU Cases


    Economic Cost of Surplus/Shortage

    Regional Adjustment Cost

    Perishable Resources Demand

    Compartment Initial Conditions

    Mild Infected Cases

    Severe Infected Cases

    ICU Cases


    Economic Cost of Surplus/Shortage

    Regional Adjustment Cost

    Perishable Resources Demand

    Shared Parameters

    Total Durable Resources

    Total Perishable Resources

    Regional SEIRD

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    Allocation Models


    Allow Negative Supply

    This model shows...


    Allow Negative Supply

    This model shows...


    Allow Negative Supply

    This model shows...


    Allow Negative Supply

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    Faculty Members

    Xiaowei Chen

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  • Alfred Chong

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  • Runhuan Feng

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  • Project Manager

    Linfeng Zhang

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  • IRisk Lab Associates

    Han Bai

    Actuarial Science, Chemistry, Statistics

    Ajay Dugar

    Econometrics & Quantitative Economics, Mechanical Engineering, Statistics

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  • Akshay Dugar

    Engineering Mechanics, Mathematics, Statistics

    Cameron Groch

    Actuarial Science

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  • QingXuan Kong

    Statistics

    Xuan Lin

    Statistics, Economics

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  • Ben Lipka

    Statistics

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  • Jingying Luo

    Actuarial Science, Statistics

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  • Sihan Meng

    Actuarial Science, Economics

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  • Pasqua Ruggiero

    Statistics

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  • Charan Sankaran

    Computer Science, Statistics

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  • Erchi Wang

    Statistics

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  • Yanbing Yi

    Geographic Information Science, Statistics

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  • Jasmine Yi

    Econometrics, Statistics

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  • Yi Yuan

    Actuarial Science, Statistics

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  • Yuqi Zhang

    Statistics

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  • Annie Zheng

    Statistics

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  • Contact Us