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

• Stella C. Watson,

  Affiliation Department of Mathematical Sciences, Clemson University, Clemson, SC, United States of America

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• Yan Liu,

  Affiliation Department of Mathematical Sciences, Clemson University, Clemson, SC, United States of America

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• Robert B. Lund,

  Affiliation Department of Mathematical Sciences, Clemson University, Clemson, SC, United States of America

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• Jenna R. Gettings,

  Affiliation Department of Mathematical Sciences, Clemson University, Clemson, SC, United States of America

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• Shila K. Nordone,

  Affiliation Department of Molecular and Biomedical Sciences, Comparative Medicine Institute, North Carolina State University, College of Veterinary Medicine, Raleigh, NC, United States of America

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• Christopher S. McMahan ,

  * E-mail: mcmaha2@clemson.edu (CSM); myabsley@uga.edu (MJY)

  Affiliation Department of Mathematical Sciences, Clemson University, Clemson, SC, United States of America

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• Michael J. Yabsley

  * E-mail: mcmaha2@clemson.edu (CSM); myabsley@uga.edu (MJY)

  Affiliations Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, GA, United States of America, Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, United States of America

  http://orcid.org/0000-0003-2452-5015

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