Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Christopher Mcmahan and Robert Lund.
Connection Strength

0.737
  1. A Bayesian spatio-temporal model for forecasting Anaplasma species seroprevalence in domestic dogs within the contiguous United States. PLoS One. 2017; 12(7):e0182028.
    View in: PubMed
    Score: 0.158
  2. 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.
    View in: PubMed
    Score: 0.154
  3. Forecasting United States heartworm Dirofilaria immitis prevalence in dogs. Parasit Vectors. 2016 10 10; 9(1):540.
    View in: PubMed
    Score: 0.150
  4. Factors associated with Anaplasma spp. seroprevalence among dogs in the United States. Parasit Vectors. 2016 Mar 22; 9:169.
    View in: PubMed
    Score: 0.144
  5. 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.
    View in: PubMed
    Score: 0.046
  6. Quantifying the relationship between human Lyme disease and Borrelia burgdorferi exposure in domestic dogs. Geospat Health. 2019 05 14; 14(1).
    View in: PubMed
    Score: 0.045
  7. 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.
    View in: PubMed
    Score: 0.039
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.