Table 3.

Final zero-inflated negative binomial regression models of environmental covariates and case counts of human granulocytic anaplasmosis (HGA) and human babesiosis

HGA						Human babesiosis
	IRR	95% CI	SE	z-value	P		IRR	95% CI	SE	z-value	P
Negative Binomial						Negative Binomial
Intercept	0.00	0.00–0.00	0.61	−35.54	<0.001	Intercept	0.00	0.00–0.00	0.92	−19.23	<0.001
Mean elevation (m)a	0.52	0.50–0.54	0.02	−31.89	<0.001	Mean elevation (m)a	0.37	0.34–0.40	0.04	−26.15	<0.001
Percent forest coverb	1.49	1.45–1.52	0.01	35.65	<0.001	Percent forest coverb	1.56	1.52–1.60	0.01	33.40	<0.001
Percent forest land cover changeb	10.11	7.38–13.85	0.16	14.42	<0.001	Percent forest land cover changeb	6.13	4.15–9.07	0.20	9.10	<0.001
Percent urban land cover changeb	0.38	0.32–0.44	0.08	−11.54	<0.001	Mean winter preciptitation (cm)b	1.12	1.09–1.14	0.01	9.94	<0.001
Mean winter preciptitation (cm)b	0.97	0.96–0.98	0.01	−4.04	<0.001	Mean winter minimum temperature (°C)	0.77	0.71–0.82	0.04	−7.14	<0.001
Mean winter minimum temperature (°C)	0.54	0.51–0.57	0.02	−24.92	<0.001	Autocovariate	1.00	1.00–1.00	0.00	15.02	<0.001
Autocovariate	1.00	1.00–1.00	0.00	26.05	<0.001
	OR	95% CI	SE	z-value	P		OR	95% CI	SE	z-value	P
Logit						Logit
Intercept	0.01	0.00–0.11	13.78	−3.42	0.001	Intercept	0.00	0.00–0.00	1.91	−9.26	<0.001
Mean elevation (m)a	2.04	1.74–2.40	0.08	8.70	<0.001	Percent forest coverb	0.57	0.49–0.66	0.08	−7.36	<0.001
Percent forest coverb	0.55	0.49–0.61	0.06	−10.41	<0.001	Percent urban land cover changeb	0.24	0.08–0.66	0.52	−2.74	0.006
Percent urban land cover changeb	0.23	0.08–0.66	0.54	−2.73	0.006	Mean winter minimum temperature (°C)	0.39	0.32–0.48	0.10	−9.39	<0.001
Mean winter minimum temperature (°C)	0.75	0.65–0.87	0.77	−3.72	<0.001	Autocovariate	1.00	1.00–1.00	0.00	−3.71	<0.001
Autocovariate	1.00	1.00–1.00	0.00	−5.15	<0.001

^aVariable divided by 100 for interpretability, one unit in table is equal to 100 units.

^bVariable divided by 10 for interpretability, one unit in table is equal to 10 units.