Research
Buruli ulcer disease prevalence in Benin, West Africa: associations with land use/cover and the identification of disease clusters
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* Corresponding author: Tyler Wagner wagnerty@msu.edu
1 Quantitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA
2 U.S. Geological Survey, Pennsylvania Cooperative Fish & Wildlife Research Unit, Pennsylvania State University, 402 Forest Resources Bldg, University Park, PA 16802, USA
3 Department of Entomology, Michigan State University, East Lansing, MI 48824, USA
4 Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 48824, USA
5 Programme National de lutte contre l'UB, Cotonou, Benin
International Journal of Health Geographics 2008, 7:25 doi:10.1186/1476-072X-7-25
Published: 27 May 2008Additional files
Additional file 1:
AICc weights and strength of evidence for negative binomial regression candidate models. The file provides AICc weights and strength of evidence for negative binomial regression candidate models used to investigate the relationships between land use/cover covariates and Buruli ulcer disease prevalence rates.
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