Co-Authors
This is a "connection" page, showing publications co-authored by Robert Lund and Christopher Mcmahan.
Connection Strength
0.695
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A Bayesian spatio-temporal model for forecasting Anaplasma species seroprevalence in domestic dogs within the contiguous United States. PLoS One. 2017; 12(7):e0182028.
Score: 0.149
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A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Ehrlichia species in domestic dogs within the contiguous United States. Parasit Vectors. 2017 Mar 09; 10(1):138.
Score: 0.146
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Forecasting United States heartworm Dirofilaria immitis prevalence in dogs. Parasit Vectors. 2016 10 10; 9(1):540.
Score: 0.141
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Factors associated with Anaplasma spp. seroprevalence among dogs in the United States. Parasit Vectors. 2016 Mar 22; 9:169.
Score: 0.136
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Canine vector-borne disease: mapping and the accuracy of forecasting using big data from the veterinary community. Anim Health Res Rev. 2019 06; 20(1):47-60.
Score: 0.043
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Quantifying the relationship between human Lyme disease and Borrelia burgdorferi exposure in domestic dogs. Geospat Health. 2019 05 14; 14(1).
Score: 0.042
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A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Borrelia burgdorferi, causative agent of Lyme disease, in domestic dogs within the contiguous United States. PLoS One. 2017; 12(5):e0174428.
Score: 0.037