Global Opt

Embed Size (px)

Citation preview

  • 7/30/2019 Global Opt

    1/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Global Optimization for Estimation of On/Off

    Seasonality in Infectious Disease Spread Using

    Pyomo

    Carl Laird

    Chemical Engineering Dept.Texas A&M University

    Gabriel Hackebeil

    Chemical Engineering Dept.Texas A&M University

  • 7/30/2019 Global Opt

    2/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Introduction

    Infectious Diseases Remain Important Understanding Disease Dynamics

    Public Health Program Implementation

    Childhood Diseases Useful for Study

    Clear Temporal Dynamics Annual and Biennial Drivers Dependent on Birthrate

    Seasonal Patterns

    Not Purely Random

    2

  • 7/30/2019 Global Opt

    3/19

  • 7/30/2019 Global Opt

    4/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Introduction

    4

    Seasonality in Transmission Parameter

    Previous Results Show Seasonality in Beta Corresponds With School Terms

  • 7/30/2019 Global Opt

    5/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Outline

    Problem Formulation

    High-level Solution Strategy

    Pyomo Implementation

    Results

    Pyomo Experiences

    Acknowledgements

    5

  • 7/30/2019 Global Opt

    6/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Disease Model

    TSIR Model

    Measles Data

    6

  • 7/30/2019 Global Opt

    7/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Problem Formulation

    Log Transform

    7

  • 7/30/2019 Global Opt

    8/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Problem Formulation

    Multiplicative Noise in Data Measurement

    8

  • 7/30/2019 Global Opt

    9/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Problem Formulation

    First-Order Taylor Series Approximation

    9

  • 7/30/2019 Global Opt

    10/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    MIP Formulation

    10

  • 7/30/2019 Global Opt

    11/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    NLP Formulation

    11

  • 7/30/2019 Global Opt

    12/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Global Optimization Algorithm

    12

  • 7/30/2019 Global Opt

    13/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Refining the Convex Relaxation

  • 7/30/2019 Global Opt

    14/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Disease Model File

    14

  • 7/30/2019 Global Opt

    15/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Run File

    15

  • 7/30/2019 Global Opt

    16/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Results New York Data

    Global Solution Two Years of Case Data

    16

  • 7/30/2019 Global Opt

    17/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Results New York Data

    Global Solution

    On/Off Behavior Matches School Terms

    17

    Summer

    Break

  • 7/30/2019 Global Opt

    18/19

    Artie McFerrin Department of

    Chemical EngineeringTexas A&M University

    Pyomo Experiences

    Convenience of Python

    plotting/saving results

    lists/dictionaries for data analysis

    functions, classes

    Data files

    previous models built in AMPL

    18

  • 7/30/2019 Global Opt

    19/19

    Artie McFerrin Department of

    Chemical Engineering

    Acknowledgements

    Sandia National Laboratories

    National Science Foundation Faculty Early

    Career Development (CAREER) Award

    Research Group

    19