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Mapping Disease Transmission Risk from Biogeographic and Ecological
Perspectives
A. Townsend PetersonUniversity of Kansas
Why Maps for Diseases?
• Where to focus resources for vaccination?• Where to focus educational efforts?• Where to place diagnostic facilities and
equipment?
• In short, where to expect a disease to occur, and where not????
Published January 2004
• Marburg disease distribution
• Spotty, patchy potential distribution across eastern and southern Africa
• Distinct ecological distribution from ebola (open circles)
• Potential distribution extends to Cameroon and northern Angola
• Marburg disease distribution
• Spotty, patchy potential distribution across eastern and southern Africa
• Distinct ecological distribution from ebola (open circles)
• Potential distribution extends to Cameroon and northern Angola
Update to 2015:• Approximate doubling in information
over 2004 efforts• Species by species model
development• Explicit consideration of uncertainty
in model predictions• In review for publication
THE CURRENT DISEASE TOOLKIT
Dots on Maps
?? ?
?
?
The Situation …
• Spatial-only models do nothing to establish a connection between occurrence and context
• No good way to anticipate disease transmission risk responses to future climates
• Lots of talk, lots of discussion, not much data• Some adaptations of transmission models to
the question, but not terribly spatially explicit• These gaps left open many questions…
Geography
Disease Incidence
Geography
Disease Incidence
Spatial Modeling
Geography
Disease Incidence
Environmental Conditions
Geography
Disease Incidence
Environmental Conditions
Space-and-environment Models
Geography
Disease Incidence
Environmental Conditions
Interactions among species
Pathogens
Vectors
Hosts
Geographic Distributions
Workflow• Understand disease system in detail• Identify suite of species relevant to the disease (vectors,
hosts, pathogen)• Develop hypotheses of relevant regions (M) for each
species• Fit ecological niche models individually for each species• Model or simulate interactions between the species to
create transmission system• Model or simulate human presence and behavior to
create risk map• Transfer present model to future (post climate-change)
environmental (and human) scenarios
Lutzomyia longipalpis
Rese
arch
ed
Raw
Lassa: Uncareful Results
Effects of Quality Control
Effects of Reducing Oversampling
Effects of Error Balance
New Approaches, Gaps, and Impediments• Mapping and modeling approaches based in ecology and
biogeography have much to offer to spatial epidemiology– Working to create a truly predictive methodology that can
anticipate disease occurrence• Methods– Need to assure that the methodology used is consistent with
the processes that are occurring– Ecology, biogeography, etc.
• Data, data, and more data…– Occurrence data for species– Relevant geospatial data– Archival storage of existing samples to allow data recycling
CONSTRAINTS AND LIMITATIONS
Examples of Disease-relevant Data
Examples of Disease-relevant Data
Examples of Disease-relevant Data
Examples of Disease-relevant Data
Examples of Disease-relevant Data
Examples of Disease-relevant Data
Examples of Disease-relevant Data
Examples of Disease-relevant Data