Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
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
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?
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
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