Last Updated: 09/26/2026
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Found 11 publications
Canine vector-borne disease: mapping and the accuracy of forecasting using big data from the veterinary community.
Journal: Animal health research reviews
Published: January 03, 2020
Quantifying the relationship between human Lyme disease and Borrelia burgdorferi exposure in domestic dogs.
Journal: Geospatial health
Published: November 06, 2018
A Bayesian hierarchical model for identifying significant polygenic effects while controlling for confounding and repeated measures.
Journal: Statistical applications in genetics and molecular biology
Published: November 16, 2017
A Bayesian spatio-temporal model for forecasting Anaplasma species seroprevalence in domestic dogs within the contiguous United States.
Journal: PloS one
Published: January 05, 2017
A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Ehrlichia species in domestic dogs within the contiguous United States.
Journal: Parasites & vectors
Published: September 16, 2016
Forecasting United States heartworm Dirofilaria immitis prevalence in dogs.
Journal: Parasites & vectors
Published: July 26, 2016
Factors associated with Anaplasma spp. seroprevalence among dogs in the United States.
Journal: Parasites & vectors
Published: September 01, 2015
Factors influencing U.S. canine heartworm (Dirofilaria immitis) prevalence.
Journal: Parasites & vectors
Published: November 07, 2013
Key factors influencing canine heartworm, Dirofilaria immitis, in the United States.
Journal: Parasites & vectors
Published: October 10, 2012
Showing 1-11 of 11
Last Updated: 09/26/2026