Research
Enhanced spatial models for predicting the geographic distributions of tick-borne pathogens
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* Corresponding author: Michael C Wimberly michael.wimberly@sdstate.edu
1 Geographic Information Science Center of Excellence, South Dakota State University, Brookings, SD, USA
2 Southeastern Cooperative Wildlife Disease Study, University of Georgia, Athens, GA, USA
3 Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, USA
International Journal of Health Geographics 2008, 7:15 doi:10.1186/1476-072X-7-15
Published: 15 April 2008Additional files
Additional file 1:
Parameter Estimates. Mean posterior parameters values from the Bayesian hierarchical models with 2.5% and 97.5% Bayesian credible intervals.
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