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This paper discusses the development of user-friendly applications transforming disease vector management using tick threat maps. Tick ecology basics, GIS methodology, procedures for producing maps, and their uses are reviewed. Tick-related diseases like Lyme Disease and West Nile Virus are highlighted, showing the need for predictive tools. The study focuses on Fort Pickett in Virginia, with diverse habitats important for tick habitats. Geographic Information Systems (GIS) methods, tick collection techniques, and data analysis results are presented. The study shows associations between ticks and habitats for effective tick management, aiming to reduce exposure and use of insecticides. Concluding with tick threat assessment maps as decision-making tools for various personnel in disease prevention and vegetation management, envisioning predictive models for disease vectors. Acknowledgements to key contributors in the project are highlighted.
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Transforming Disease Vector Management Through the Development of User Friendly Applications CDR Kenneth J. Stein, Ph.D.,MSC, USNR OIC FH FT Dix Det 05 steinkj@earthlink.net February 9, 2004
Objectives • To review the basics of tick ecology • To review current issues within GIS methodology • To review the procedures involved in producing tick threat maps • To review uses of tick threat maps
IntroductionWhy ticks? • Recent increases in the number of diseases transmitted by ticks • Lyme Disease, Rocky Mountain Spotted Fever, Ehrlichiosis, and Babesiosis • Newly emerging diseases throughout the World; e.g., West Nile Virus
IntroductionWhy ticks?(cont.) • Developed for personnel on Federal Lands; e.g., Military, National Parks, etc. • Personnel could reduce exposure to ticks if they could predict where ticks were located • Preventive measures for various tick species exist—compliance is poor
IntroductionSite Location • Fort Pickett is a 45,000 acre Virginia National Guard training area • It consists of mixed hardwood forests, mostly oaks and loblolly pines • Fort Pickett holds a variety of other habitats: riverine and wetlands, meadows and thickets • Large number of personnel who train annually, > 10,000 in summer
GIS Challenge • Problems that stem from limitations of equipment and interpreting results: • Issues of Scale • Habitat Heterogeneity • Paucity of Data
MethodsTick Collection Ticks were collected using timed-walks with tick drags
MethodsTick Collection • 1st yr. 18 sites and visited each site 10 times = 180 collections • Baseline data • Presence/Absence models • Tentative density predictions • 2nd yr. 136 unique site visits • 350 minutes in each of 7 habitat/edge categories
MethodsGeographic Information Systems Ticks were collected from over 136 sites during the 2nd year
Results: Tick and Habitat DataProc GENMOD - SAS • 2 variables • Nymphs and Adults: Forest and Edge • Larvae: No relationships, primary aspects • 4 variables • Nymphs and Adults: Forest and Edge • Larvae: Disturbed and Maturing
ResultsMean Encounter Rates • Nymphs and Adults • 0-1 = low • 2-4 = moderate • > 4 = high • Larvae • 0-1 = low • 2-10 = moderate • > 10 = high
ResultsMean Encounter Rates • 1st yr. • Adults = 78% • Nymphs = 90% • Larvae = 98% • 2nd yr. • Adults = 78%; P=0.001 • Nymphs = 95%; P=0.001 • Larvae = 98%; P=0.037
ResultsData Analysis • Linking the results from our habitat models and mean encounter rates with… • Vegetation map is embedded within our orthophoto
Results: SummaryTwo sets of Analyses • Models that show distributions or associations with habitats • Mean encounter rates implicit within tick distribution models
Conclusions • Tick threat assessment maps are a decision-making tool for: • Minimizing exposure to ticks • IPM & reducing insecticides in the environment • As a guide for vegetation management to reduce tick habitat
Conclusions(cont.) • For use by: • Troops before/after deployment • Field crews/natural resource personnel • Preventive medicine personnel
Vision • Develop set of rules for disease vectors • Develop predictive models • Develop these as components • Develop disease vector maps
Acknowledgments • LTC Cannon, LTC Johnson, Karl Neidhardt, Ben Pagac, Melissa Miller, and Alexandra Spring, CHPPM • Scott Klopfer, Conservation Management Institute • Virginia Department of Military Affairs, Fort Pickett, VA • Clara M. Stein