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

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

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
  1. *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.
  2. **OR = Odds ratio; adjusted for possible household clustering.