Table 2.

Multivariable logistic regression analysis of the association between BU risk and landscape metrics in southwestern Ghana

Model ID	Variables	β	OR			P	AIC
			Point estimate	95% CI
1	PDnew	0.92	2.51	1.36	4.61	0.003	54.32
	Forest	−0.12	0.89	0.83	0.95	< 0.001
	Buffer radius	0.63	1.88	0.95	3.72	0.070
2	EDnew	1.43	4.18	1.63	10.76	0.003	56.62
	Forest	−0.10	0.90	0.86	0.95	< 0.001
	Buffer radius	0.59	1.80	0.93	3.49	0.083
3	SHDInew	0.91	2.50	1.52	4.09	< 0.001	52.12
	Forest	−0.08	0.93	0.89	0.97	0.001
	Buffer radius	0.35	1.42	0.77	2.63	0.264
4	SHEInew	1.81	6.13	2.28	16.49	< 0.001	52.27
	Forest	−0.08	0.93	0.88	0.97	0.001
	Buffer radius	0.37	1.45	0.78	2.69	0.240
5	SIDInew	2.39	10.92	2.84	41.98	0.001	52.30
	Forest	−0.09	0.91	0.87	0.96	< 0.001
	Buffer radius	0.38	1.46	0.79	2.68	0.226
6	SIEInew	2.09	8.10	2.48	26.44	0.001	52.07
	Forest	−0.09	0.91	0.87	0.96	< 0.001
	Buffer radius	0.39	1.48	0.80	2.74	0.207

AIC = Akaike's information criterion; BU = Buruli ulcer; CI = confidence interval; ED = edge density; OR = odds ratio; PD = patch density; SHDI = Shannon's diversity index; SHEI = Shannon's evenness index; SIDI = Simpson's diversity index; SIEI = Simpson's evenness index. PD_new = PD/100; ED_new = ED/100; SHDI_new = SHDI × 10; SHEI_new = SHEI × 10; SIDI_new = SIDI × 10; SIEI_new = SIEI × 10. Each model has three independent variables, including buffer radius, the percentage of forest area and a landscape metric.