The independent effect of living in malaria hotspots on future malaria infection: an observational study from Misungwi, Tanzania

Table 2 **Multivariate models* estimating the independent risk of malaria infection associated with residing in a malaria hotspot**

Variable	N = 3,246	Adjusted OR** (95% CI)	Wald test P-value
Residence in a hotspot (SaTScan-nPCR)
Coldspot	792	1
Other	1,728	1.64 [0.96-2.81]	0.072
Hotspot	726	3.11 [1.57, 6.18]	<0.001
Residence in a hotspot (SaTScan-AMA-1)
Coldspot	904	1
Other	1,092	1.66 [0.79-3.48]	0.767
Hotspot	1,250	1.78 [0.91-3.46]	0.091
Residence in a hotspot (Kernel-nPCR)
<14.9	804	1
15-21.3	819	0.66 [0.35-1.04]	0.070
21.4-27.1	818	0.88 [0.46 -1.66]	0.690
>27.1	805	1.52 [0.87-2.66]	0.145
Residence in a hotspot (Kernel-AMA-1)
<27.9	814	1
28-38.9	811	0.70 [0.37-1.31]	0.264
39-53.0	814	0.65 [0.32-1.32]	0.237
>53.0	807	0.99 [0.49-2.00]	0.987

*The model for SaTScan and kernel were run separately, and were adjusted for the following variables: age, sex, mother’s education, breeding site, household quality, sleeping under LLIN, and distance from health facility.
**OR = Odds ratio; adjusted for possible household clustering.