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Risk of exposure to Lyme disease in northern California

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Risk of exposure to Lyme disease in northern California Bb Exposed mean hrs/wk Caryl Waggett, Environmental Science, Allegheny College and Robert Lane, Insect Biology ... – PowerPoint PPT presentation

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Title: Risk of exposure to Lyme disease in northern California


1
Risk of exposure to Lyme disease in northern
California
Caryl Waggett, Environmental Science, Allegheny
College and Robert Lane, Insect Biology,
University of California at Berkeley
  • Lyme disease
  • Most prevalent vector-borne disease in the
    United States. Human incidence in California is
    patchy, reflecting underlying variability in
    vector density and infection prevalence
  • Three-part study designed to identify high risk
    habitats, develop monitoring program and conduct
    epidemiological assessment of risk factors
  • Ecological assessment
  • Four dominant habitats (n48) and ecotones
    (n10) flagged for ticks
  • Collected and analyzed gt3,500 ticks bi-weekly
    over 3 years
  • Acarolgic risk, the number of infected ticks/100
    m2, varied by
  • Habitat, season, tick life stage
  • Hardwood forests pose greatest risk of exposure
    to infected nymphs
    Ecotones and chaparral pose moderate risk
    to infected adults
  • Abiotic factors correlated with acarologic
    risk included
  • Aspect, slope, canopy, leaf duff, substrate, pH,
    relative humidity and temperature

Mean number of infected ticks per 100 m2
The Lyme disease spirochete, Bb, has a
complicated life cycle involving two vectors and
many hosts that affect risk of human exposure.
The tick responsible for transmitting Bb to
humans has definitive habitat preferences and
seasonal distributions.
Lyme disease is the most prevalent in the
Northeast and Midwest, but high numbers of human
cases have been identified in coastal northern
California.
Month
  • Model results for monitoring Lyme disease risk
  • High risk habitats not uniquely identifiable
    using satellite imagery
  • Overall spectral signatures appear unique, but
    high band variability present within each habitat
  • TM5 Model Accurate Kappa statistic
    100
  • Overall model (n351) 72 accurate 66
  • Water (n90) 100 accurate 100
  • Open grassland (n56) 92 accurate 91
  • Hardwood forests (n67) 61 accurate 53
  • Chaparral (n54) 52 accurate 42
  • Woodland grass (n84) 48 accurate 37
  • Tasseled cap model had similar accuracy
    (K100)64
  • Mixed hardwood forests have highest acarologic
    risk. Inability of model to accurately
    characterize this habitat suggests that TM5
    imagery may not be sufficiently sensitive for
    long-term and rapid monitoring of human risk of
    Lyme disease in northern California
  • Models from Northeast and Midwest with higher
    accuracy characterized extreme habitats (e.g.,
    forests v. meadows, or wooded lots v. lawns) as
    opposed to two similar forest types
  • Hyperspectral or higher resolution imagery may
    be necessary to adequately characterize
    different forested habitats in region
  • Monitoring Lyme disease risks
  • Rapid changes in land use patterns in rural
    California
  • CA population to double from 1990-2020 to 60
    million people
  • Rural northern CA currently affordable,
    accessible
  • Increased habitat fragmentation, development in
    high risk habitats
  • Model developed using satellite imagery to
    characterize high risk habitats identified from
    ecological assessments
  • Landsat TM5 imagery (30m resolution) from Nov
    2002
  • Drought- and winter-deciduous trees had lost
    leaves
  • 89 reference sites (1,792 pixels) from 5
    habitats
  • Hardwood forests, woodland grass, grass,
    chaparral, control water
  • Values from 6 non-thermal bands used to create
    habitat-specific reference signatures
  • Each of 51 validation sites (351 pixels) were
    compared to reference signatures
  • Each pixel characterized to habitat using root
    mean square (RMS) error with smallest difference
  • Model re-run using Tasseled cap indices
  • Greenness, wetness, brightness

Band 4
Band 4
  • Epidemiological assessment of risk factors
  • Cross-sectional survey of community at high risk
    for Lyme disease, 14-year follow-up of
    serological survey and questionnaire conducted in
    1988-89 (Lane et al. 1992)
  • 43 cumulative prevalence of Lyme disease, 1.5
    annual incidence
  • 11 of 76 variables examined significantly
    associated with exposure to Lyme disease
    pathogen, Borrelia burgdorferi (Bb)
  • Length of residence, annual time at residence,
    time spent outdoors, seasonal use of property,
    habitat diversity, property management,
    gardening, caring for animals, ownership of farm
    animals, stargazing, and lack of protective
    clothing
  • Activities, behaviors placed residents at high
    risk for many tick-borne diseases
  • Lyme disease, human granulocytic and monocytic
    ehrlichiosis, babesiosis, bartonellosis
  • Despite rural environment and behavioral
    patterns (e.g., time spent outdoors), the
    majority of risk factors were peri-domestic in
    naturesimilar to Northeast and Midwest
  • Educational efforts conducted 14 years earlier
    have proved effective

All residents spend an extraordinary amount of
time outdoors, but residents who have been
exposed to Bb spend statistically more time
outdoors than non-exposed residents. Residents
spend less time outdoors now than they did in
1988-89.
Residents in rural northern California live
adjacent to habitats at high risk from infected
nymphs and along ecotones at moderate risk from
infected adult ticks.
These studies were supported by generous grants
from NIH and CDC to R.S.L.
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