Table 2 |
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|
Final model parameter estimates for negative binomial regression models. |
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| Model |
Parameter estimates |
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|
|
||||||
| Country-wide analysis |
Intercept |
Urban (20) |
Forest (20) |
Mean elevation |
Wetness index standard deviation |
Random district effect ( ) |
| 0.76 (1.71) |
-3.62 (1.96) |
1.68 (0.88) |
-0.85 (0.22) |
3.06 (1.27) |
0.55 (0.37) |
|
| Cluster 1 |
Intercept |
Urban (0.5) |
||||
| -6.05 (0.14) |
-5.28 (1.81) |
|||||
|
|
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|
Response variable is the number of Buruli ulcer cases in villages in Benin, West Africa. Models for two analyses are presented: a country-wide analysis (n = 327 villages), and an analysis for Buruli ulcer disease in cluster 1 (see methods; n = 100 villages). Cluster 1 had greater than expected prevalence (see Figure 3 for location of cluster). Parameter estimates are followed by standard errors in parentheses. Land use/cover types are percent in a buffer surrounding each village, the buffer width (km) follows the land use/cover type in parentheses. |
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|
Wagner et al. International Journal of Health Geographics 2008 7:25 doi:10.1186/1476-072X-7-25 |
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