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Agent-based Modeling, Functional
   Connectivity, and Disease
    Transmission in Felines


          Jeff A. Tracey, PhD
        Sue VandeWoude, PhD
         Kevin R. Crooks, PhD

       Colorado State University
Introduction

●   Agent-based Modeling (ABM)

●   Role of host behavior in the ecology of
    infectious disease
        –   Movement and contact
        –   Habitat fragmentation due to urbanization
Our Study System

●   Species:
    –   Bobcats (Lynx rufus), mountain
        lions (Puma concolor), domestic
        cats (Felis catus)
●   Locations:
    –   Southern California, Colorado,
        Florida, ...
●   Diseases:
          –   FIV, plague, calicivirus,
                toxoplasmosis, others
Bobcats in Southern California


           HABITAT




           BOBCAT




         NON-HABITAT
Questions

●   How does movement behavior interact with
    habitat fragmentation to affect contact rates
    and spread of an SI disease?

●   How does movement behavior and landscape
    structure affect the transmission of the disease
    within and between habitat patches?
Agent-based Models (ABMs)
●   a.k.a. Individual-based Models (IBMs)


●   Agent-level:
       –   Individual bobcats
       –   Sensing, decisions, behavior
       –   Interactions
●   System-level: emergence; collect data, summarize


●   “Computational laboratories”
Start Simple...

●   No birth, death, or life history
●   No social interactions
●   Agents have same move rule
●   Simple SI, direct contact disease (FIV-like)

●   Incrementally, we will add detail / specificity
ABM Components
●   Landscape
●   Agents
●   Disease
●   Networks
    –   Contact
    –   Disease
    –   Later, will add social networks
Low   Habitat Amount   High




High
Fragmentation
Low
Movement Rules
●   Parts of movement rule
    –   Landscape response
    –   Basic movement rule
●   Basic movement rules:
    –   Random
    –   Home range-like
    –   Dispersal-like
●   More realistic rules...
Simulation Experiments
●   Vary parameters
    –   Disease
         ●   Proportion of initially infective individuals
         ●   Probability of disease transmission
    –   Landscape
         ●   Amount of habitat
         ●   Fragmentation
    –   Movement
         ●   Non-habitat preference
         ●   Move rule and parameters
Agent Locations and State
Contact Network
Disease Network
Simulation Experiments

●   Summarize system-level properties:
    –   Proportion infective at end of simulation
    –   Proportion of within-patch transmissions
    –   Proportion of between-patch transmissions
    –   Proportion of patches with infective individuals
    –   many others...
Movement Behavior Matters
 10 % Habitat                30 % Habitat




                              Variation Due to
                           Movement Behavior Only
        Variation Due to
  Movement Behavior Only
Effects of Movement Can Be
                 Nonlinear
Example: Between           Landscape: highly fragmented, 30% habitat
patch transmission
Highest at:
●   Intermediate non-
    habitat permeability
●   Intermediate
    directionality for
    dispersal-like
    movement
                                            Directionality
Fragmentation Does Not Always
        Slow Disease Spread
●   Effects of      Dispersal-like Movement
                         50 % Habitat
    landscape can
    have opposite
    effects on
    prevalence
    depending on
    movement
Landscape Change as a Dynamic
               Process
●   Therefore:
    –   Connectivity and
        movement should
        change
    –   Disease dynamics
        should change
●   More vulnerable at     Western Futures Models
                           Dr. Dave Theobald, CSU
    particular stages?
●   Species-specific
Landscape Change as a Dynamic
               Process
●   Therefore:
    –   Connectivity and
        movement should
        change
    –   Disease dynamics
        should change
●   More vulnerable at     Western Futures Models
                           Dr. Dave Theobald, CSU
    particular stages?
●   Species-specific
Landscape Change as a Dynamic
               Process
●   Therefore:
    –   Connectivity and
        movement should
        change
    –   Disease dynamics
        should change
●   More vulnerable at     Western Futures Models
                           Dr. Dave Theobald, CSU
    particular stages?
●   Species-specific
Landscape Change as a Dynamic
               Process
●   Therefore:
    –   Connectivity and
        movement should
        change
    –   Disease dynamics
        should change
●   More vulnerable at     Western Futures Models
                           Dr. Dave Theobald, CSU
    particular stages?
●   Species-specific
Important Points:

●   Agent-based modeling approach
        –   Computational laboratory


●   Movement matters
        –   Can be nonlinear, counter-intuitive


●   Simulation software
Acknowledgments
Funding:                       Dr. Jun Zhu (UW-Madison/CSU)
●   National Science           Collaborators From:
    Foundation
                               ●   UC Davis, University of Florida, San Diego
●   Burroughs Wellcome             State University, US Geological Survey, NIH,
    Travel Scholarship             CDC, NPS, USFWS, Colorado Division of
                                   Wildlife
Other CSU Team
Members:
●   Mo Salman, Mike Lapin      Thank you to the conference organizers!
●   Sarah Bevins
●   Justin Lee, Jesse Lewis,
    Martha MacMillan, Linda
    Sweanor, Robert Alonso
Thanks




Website: http://feline-eid.colostate.edu
E-mail: jatracey2005@gmail.com

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Presentation at 2009 EID Meeting in Park City, Utah

  • 1. Agent-based Modeling, Functional Connectivity, and Disease Transmission in Felines Jeff A. Tracey, PhD Sue VandeWoude, PhD Kevin R. Crooks, PhD Colorado State University
  • 2. Introduction ● Agent-based Modeling (ABM) ● Role of host behavior in the ecology of infectious disease – Movement and contact – Habitat fragmentation due to urbanization
  • 3. Our Study System ● Species: – Bobcats (Lynx rufus), mountain lions (Puma concolor), domestic cats (Felis catus) ● Locations: – Southern California, Colorado, Florida, ... ● Diseases: – FIV, plague, calicivirus, toxoplasmosis, others
  • 4. Bobcats in Southern California HABITAT BOBCAT NON-HABITAT
  • 5. Questions ● How does movement behavior interact with habitat fragmentation to affect contact rates and spread of an SI disease? ● How does movement behavior and landscape structure affect the transmission of the disease within and between habitat patches?
  • 6. Agent-based Models (ABMs) ● a.k.a. Individual-based Models (IBMs) ● Agent-level: – Individual bobcats – Sensing, decisions, behavior – Interactions ● System-level: emergence; collect data, summarize ● “Computational laboratories”
  • 7. Start Simple... ● No birth, death, or life history ● No social interactions ● Agents have same move rule ● Simple SI, direct contact disease (FIV-like) ● Incrementally, we will add detail / specificity
  • 8. ABM Components ● Landscape ● Agents ● Disease ● Networks – Contact – Disease – Later, will add social networks
  • 9. Low Habitat Amount High High Fragmentation Low
  • 10. Movement Rules ● Parts of movement rule – Landscape response – Basic movement rule ● Basic movement rules: – Random – Home range-like – Dispersal-like ● More realistic rules...
  • 11. Simulation Experiments ● Vary parameters – Disease ● Proportion of initially infective individuals ● Probability of disease transmission – Landscape ● Amount of habitat ● Fragmentation – Movement ● Non-habitat preference ● Move rule and parameters
  • 15. Simulation Experiments ● Summarize system-level properties: – Proportion infective at end of simulation – Proportion of within-patch transmissions – Proportion of between-patch transmissions – Proportion of patches with infective individuals – many others...
  • 16. Movement Behavior Matters 10 % Habitat 30 % Habitat Variation Due to Movement Behavior Only Variation Due to Movement Behavior Only
  • 17. Effects of Movement Can Be Nonlinear Example: Between Landscape: highly fragmented, 30% habitat patch transmission Highest at: ● Intermediate non- habitat permeability ● Intermediate directionality for dispersal-like movement Directionality
  • 18. Fragmentation Does Not Always Slow Disease Spread ● Effects of Dispersal-like Movement 50 % Habitat landscape can have opposite effects on prevalence depending on movement
  • 19. Landscape Change as a Dynamic Process ● Therefore: – Connectivity and movement should change – Disease dynamics should change ● More vulnerable at Western Futures Models Dr. Dave Theobald, CSU particular stages? ● Species-specific
  • 20. Landscape Change as a Dynamic Process ● Therefore: – Connectivity and movement should change – Disease dynamics should change ● More vulnerable at Western Futures Models Dr. Dave Theobald, CSU particular stages? ● Species-specific
  • 21. Landscape Change as a Dynamic Process ● Therefore: – Connectivity and movement should change – Disease dynamics should change ● More vulnerable at Western Futures Models Dr. Dave Theobald, CSU particular stages? ● Species-specific
  • 22. Landscape Change as a Dynamic Process ● Therefore: – Connectivity and movement should change – Disease dynamics should change ● More vulnerable at Western Futures Models Dr. Dave Theobald, CSU particular stages? ● Species-specific
  • 23. Important Points: ● Agent-based modeling approach – Computational laboratory ● Movement matters – Can be nonlinear, counter-intuitive ● Simulation software
  • 24. Acknowledgments Funding: Dr. Jun Zhu (UW-Madison/CSU) ● National Science Collaborators From: Foundation ● UC Davis, University of Florida, San Diego ● Burroughs Wellcome State University, US Geological Survey, NIH, Travel Scholarship CDC, NPS, USFWS, Colorado Division of Wildlife Other CSU Team Members: ● Mo Salman, Mike Lapin Thank you to the conference organizers! ● Sarah Bevins ● Justin Lee, Jesse Lewis, Martha MacMillan, Linda Sweanor, Robert Alonso