1. L I T E R A T U R E R E V I E W
M A T T H E W W E I K
G E O G 5 2 5
M A Y 4 T H , 2 0 1 5
The Influence of Forest
Fragmentation on Lyme Disease
in the Upper Midwest
2. Outline
Introduction
Background
Geography of Lyme disease
Transmission Cycle
Land Use and Geographic Expansion
Lyme disease and GIS Data
Conclusion
4. Background
Zoonotic pathogen
Zoonosis: transfer of disease from host to host using a vector.
Majority of emerging diseases
Endemic Areas
CDC: Counties with at least two locally acquired cases
Or having a tick vector tested positive for the pathogen
5. Geography of Lyme disease
Historic
Present for thousands of years
Spread from Northeast to West
Declined with deer and tick populations (500-110 years ago)
Currently
Cases Within Major Clusters:
Northeast - 80%
Upper Midwest - 11%
Pacific West - 9%
Major Cluster Increasing in LDI
Ixodes scapularis (vector) is spreading range within clusters
Borrelia burgdorferi (pathogen) infection follows
6. Geography of Lyme disease
Geographic Expansion
Rarely studied and understood outside endemic regions
May rely on different tick vectors
I. pacificus in Pacific Coast, and dual transmission cycle
I. affinis and I. major (exclusively rodent feeding) in North Carolina plain
I. scapluaris range expansion
Reforestation, suburbanization, reintroduction of deer populations
Variation within range results from climate, habitat suitability, and growing season
Texas and Mexico
I. scapularis and hosts infected with pathogen have been found
Canada
Southeast region is becoming an endemic region
Climate change and location near Major endemic regions
7. Transmission Cycle
Establish Disease Reservoir
Nymph I. scapularis obtains infection
During larval blood meal
Infection spreads to new hosts
During nymph blood meal
Becomes adult and reproduces
During following autumn
Human Infection
Uninfected larvae feed on infected hosts
Mid-summer
Larvae acquire infection
molt into nymph
Transfers infection to humans during next feeding
Nymphs are most likely to spread disease
Adults are active at different time of year
More selective of host
Longer time for transfer of pathogen to host (24+ hours)
8. Land Use and Expansion
Land use pattern influence on Lyme disease
Observed for similar tick-borne pathogens
Provide ideal habitats for primary hosts of the transmission cycle
Speed of human modification increases magnitude of impact
Urban land use
High LDI where Low density residential built into forests.
Agriculture land use
Limits locations of suitable habitat for I. scapularis within range
Forest Fragments
Division of contiguous forests
Increases distance between patches
Increases the ratio between forest edge and interior
Decreases Biodiversity and allows cycle to thrive
Lack of competitors or predators
Mice populations reach high densities
Decreased host composition increases feedings on highly competent reservoir hosts
9. Lyme disease and GIS Data
Lyme disease Data:
CDC provides number of cases of Lyme disease by county, and incidence by state
Cases by county:
1992-2011, five year intervals
Includes 2012 and 2013 as well
Process:
State/local health departments gather data
National Notifiable Diseases Surveillance System (NNDSS) removes personal
identifiers
NNDSS communicates with the CDC
Geographic Limitations:
Possible under reporting where not recognized
Over reporting in endemic regions
Human movement displaces people from true origin of disease
10. Lyme disease and GIS Data
Land Use/ Land Cover
Downloaded from USGS GAP analysis program
Traditionally used to for prediction of protected species within conservation
areas
USGS provides additional projects in GAP Application Index
Very specific detail
590 total land use classes
General categories create eight classes
Detailed vegetation and land use patterns for contiguous U.S.
Created using satellite imagery
Landsat TM satellite Imagery from 1999 to 2001
30m X 30m pixel
Minimum mapping unit: 0.4 ha or 1 acre
Overlooks small patches of vegetation in modeling process.
11. Lyme disease and GIS Data
Lyme disease modeling
Risk models created east of 100th parallel
Typically based on DON, NIP, and DIN
DIN is specific entomological indicator of risk
Traditional models based on tick data collected in 1998
Forest fragment and Lyme disease modeling
Fragments have been defined between 0.7 and 7.6 hectares
Smallest fragments resulted in 3x increases in DON
DIN was increased 7x in fragments less than 1.2 hectares
12. Conclusion
Lyme disease is most reported arthropod borne disease in U.S.
Geographically clustered in Northeast, Upper Midwest, and Pacific
Coast, but is spreading south and north as well
Human infection is the result of a natural transmission cycle
Land use patterns of urban, agriculture, and forest
fragmentation influence the risk of Lyme disease where endemic
Data for both Lyme disease and Land use can be downloaded and
used for modeling of disease risk