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Table 2 Inverse probability weighted adjusted prevalence odds ratios (POR) of a subpatent infection among individuals sampled in the 2015 Malaria Indicator Survey in Bioko Island

From: Clustering of subpatent infections in households with asymptomatic rapid diagnostic test-positive cases in Bioko Island, Equatorial Guinea independent of travel to regions of higher malaria endemicity: a cross-sectional study

  All households (n = 1400) Travel strata (n = 329) No travel strata (n = 1071)
Minimally adjusted POR [95% CI] IPW aPOR [95% CI] Minimally adjusted POR [95% CI] IPW aPOR [95% CI] Minimally adjusted POR [95% CI] IPW aPOR [95% CI]
Household characteristics
 Living in HH with RDT(+) individual 1.93 [1.19,3.14] 2.59 [1.31,5.09] 1.92 [0.84,4.39] 1.76 [0.54,5.67] 1.97 [1.1,3.54] 2.95 [1.17,7.41]
 Having open eaves 1.74 [0.91,3.31] 2.33 [0.6,8.97] 1.61 [0.71,3.66]
 Household size 0.98 [0.87,1.1] 0.96 [0.74,1.23] 1 [0.85,1.16]
Individual characteristics
 Slept under bed net previous night 1.13 [0.71,1.81] 0.92 [0.39,2.19] 1.2 [0.66,2.18]
 Travelled off island in past 8 weeks 2.03 [1.14,3.6] 2.45 [0.92,6.57] 1.9 [0.85,4.22]
 Male 1.52 [1.03,2.23] 1.31 [0.6,2.85] 1.72 [1.08,2.75]
 Age under 5 years Ref.   
 Age 5–14 years 3.19 [1.46,6.94] 1.7 [0.46,6.24] 4.76 [1.68,13.46]
 Age 15–44 years 9.16 [4.4,19.07] 2.95 [0.92,9.47] 17.53 [6.34,48.47]
 Age 45 + years 4.19 [1.68,10.45] 4.16 [0.95,18.19] 4.61 [1.37,15.51]
Community characteristics
 Malabo (urban) Ref. Ref. Ref. Ref. Ref. Ref.
 Baney 0.45 [0.16,1.28] 0.42 [0.11,1.54] 0.42 [0.14,1.25] 0.37 [0.08,1.68]
 Luba 0.44 [0.21,0.92] 0.35 [0.14,0.88] 0.69 [0.09,5.47] 0.53 [0.04,6.26] 0.4 [0.18,0.89] 0.33 [0.11,1.01]
 Riaba 1.22 [0.53,2.82] 0.95 [0.29,3.1] 0.87 [0.11,7] 0.61 [0.05,7.42] 1.27 [0.49,3.3] 1.09 [0.24,4.94]
 Malabo (periphery) 0.86 [0.41,1.81] 0.79 [0.3,2.11] 1.52 [0.18,13.21] 1.44 [0.08,26.19] 0.78 [0.34,1.79] 0.69 [0.21,2.25]