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Buruli ulcer disease prevalence in Benin, West Africa: associations with land use/cover and the identification of disease clusters

Tyler Wagner1,2 email, M Eric Benbow3 email, Travis O Brenden1 email, Jiaguo Qi4 email and R Christian Johnson5 email

1Quantitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA

2U.S. Geological Survey, Pennsylvania Cooperative Fish & Wildlife Research Unit, Pennsylvania State University, 402 Forest Resources Bldg, University Park, PA 16802, USA

3Department of Entomology, Michigan State University, East Lansing, MI 48824, USA

4Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 48824, USA

5Programme National de lutte contre l'UB, Cotonou, Benin

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International Journal of Health Geographics 2008, 7:25doi:10.1186/1476-072X-7-25

Published: 27 May 2008

Additional 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.

Format: DOC Size: 37KB Download file

This file can be viewed with: Microsoft Word Viewer


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