Laura Bahorich, Zoey Benally, Crystal Bennett & James Nance Mentors: Graham Hickling, PhD, Suzanne Lenhart, PhD, communications/highlights/fall00.

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Laura Bahorich, Zoey Benally, Crystal Bennett & James Nance Mentors: Graham Hickling, PhD, Suzanne Lenhart, PhD, communications/highlights/fall00 /images/tickone.gif Modeling a Lone Star Tick (Amblyomma americanum) population for effective disease management Crystal Bennett NC A&T State University

Outline  Goals  Background  Methods  Model  Conclusion

What’s the Problem?  Lone Star Ticks are the most common tick species in TN  Aggressive – actively seek out & bite hosts  All life stages can transmit diseases to humans

Goals  To model the lifecycle of the Lone Star Tick within the Fairfield Glade (FFG) retirement community  To determine a cost- effective layout of 4- poster feeders to reduce disease caused by Lone Star Ticks

Background  Lone Star Ticks vector disease  10 pathogens isolated, Ehrlichia chaffeensis is the most important  White-Tailed Deer are the ticks’ natural host  Egg  Larva  Nymph  Adult  Egg  3 blood meals during life cycle, usually on deer  Spend 95% of time off host

Background

Deer Infested by Ticks

4-Poster System  Management strategy targets ticks on deer  Bait feeder plus acaricide  Systemic vs. topical  feeders in use at FFG  Cost is ~$16,000 annually  Feeders have achieved close to 100% reduction in tick numbers at other locations  Tick numbers remain high around FFG feeders

Ehrlichiosis  Ehrlichia chaffeensis – Human monocytic ehrlichiosis (HME)  Bacteria enter blood when tick feeds  Symptoms – fever, malaise, leukopenia, thrombocytopenia  Median age 55  Disease we’re focusing on…  Actually w/in WBCs. Bacteria enters host blood when the tick is feeding.  Explain WBCs  Older & immuno-compromised have fewer WBC, therefore see a more severe disease in the end.  Very generic symptoms.  Antibiotics are used to manage the disease.  More prevalent in older populations. More important in Fairfield Glade because a majority of the residents are w/in age group.

Average annual incidence of Ehrlichiosis (caused by Ehrlichia chaffeensis) by state,

Number of Ehrlichiosis cases in US (caused by Ehrlichia chaffeensis),

Fairfield Glade Outbreak

Crossville Fairfield Glade Catoosa WMA

Spring Fall Summer Winter 16

Monthly Lone Star Tick Rates

Methods  Discrete Time Model of A. americanum in FFG  Based on 7 life stages  Using MATLAB to run a simulation model for 4 years  Monthly time step begins in April  Overwintering of unfed nymphs & unfed adults  Eggs laid by overwintering fed adult population  Compare to field data collected at FFG

Model Coefficients and Rates  Obtained from Haile and Mount (1987) “Computer Simulation of Population Dynamics of the Lone Star Tick, Amblyomma americanum” – some were adjusted to fit the Fairfield Glade data.  Mortality and host-finding rates based on temperature and humidity  Sex ratio of 1:1  Females lay 5,000 eggs

Temporal Component of Model Assumptions:  Eggs, unfed adults, and unfed nymphs start each year  52% of laid eggs hatch in 2 months  Disease risk is assumed to be correlated with tick numbers  Constant deer population Features:  Host Finding and Mortality Rates  Seven stages: eggs, unfed larvae, fed larvae, unfed nymphs, fed nymphs, unfed adults, fed adults Initial Conditions:  25,000 eggs, 150 unfed nymphs, 60 unfed adults  Less if the area is residential

Sample Equations  Fed Nymphs fn(k+1) = ohsr n * hfr n (p) * un(k)  Unfed Adults ua(k+1) = ua(k) * (1-.14) - hfr a (p) * ua(k) +.85 * fn(k)

Sample Output Eggs & Larvae Adults Time in months Nymphs

Preliminary Spatial Model  Divide FFG into a 10 x 8 grid  Categorize grid squares as ‘Developed’ or ‘Undeveloped’  A tick model runs in each grid square  A specified number of feeders, with a specified layout, are added to the grid

Feeder position affects on-host tick survival  In each grid square position (i,j):  Area Type affects initial conditions, Developed and Undeveloped.  Feeder proximity affects on-host survival rate (nearby, in square, or none). (i,j) D D 0% U DU 50% U UU 95% U RESULT:

Current Feeder Locations

Feeder position affects on-host tick survival CODE:

Economic Component AIM: Choose feeder layout to minimize the expected total cost of disease cases plus the feeder program  Ehrlichia Treatment = $10,000/case  Feeder Maintenance = $2,000/year Example: if 12 feeders reduced ticks by 40% then: (Base number of cases is 10 per year) TOTAL COST = (6 cases x $10,000) + (12 feeders x $2000) = $60,000 disease + $24,000 feeders = $84,000

Economic Component  Compare the reduction in tick population achieved in year 4 with current Feeder arrangement to the reduction achieved with a more strategic layout Year 4 without feeders Year 4 with feeders

Four Scenarios - Modeled Effect of Feeder Number on %Tick Population

Scenario Analysis

Conclusions (continued)

Conclusions  Practical objective of making tick management suggestions to FFG  First goal was to understand the biology to build a discrete time model  Second goal was to construct a spatial & temporal model to assist with assessing cost-effective efficient layouts for the 4-posters  Reducing tick numbers may help to prevent future Ehrlichiosis outbreaks  Completed a small number of scenario analyses  Aim to investigate the full optimization problem

Conclusions (continued)  Reducing tick numbers may help to prevent future Ehrlichiosis outbreaks  Completed a small number of scenario analyses  Aim to investigate the full optimization problem

Acknowledgements  Dr. Graham Hickling and Suzanne Lenhart  NIMBioS  Dr. Greg Goins and Thomas Redd NC A&T U.  NSF UBM Grant #