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. 2013 Mar 6;88(3):433–440. doi: 10.4269/ajtmh.12-0552

Table 1.

Demography and distribution of parasite infection among study children in four Kwale County villages, Kenya

Total (N = 2,030) Nganja (N = 235) Milalani (N = 416) Vuga (N = 726) Jego (N = 653) P value*
Demographic
 Age mean in years (range) 11.0 (5–19) 11.2 (5–19.5) 11.1 (5–19) 11.6 (5–19) 10.4 (5–18) 0.0715
 Female 48% 45% 51% 51% 46% 0.0852
Parasitology prevalence
S. haematobium 37% 62% 62% 25% 25% < 0.0001
  Heavy intensity (> 50 eggs/10 mL urine) 20% 40% 32% 12% 14% 0.0095
  Light intensity (1–50 eggs/10 mL urine) 17% 21% 30% 13% 11% < 0.0001
 Hookworm 20% 23% 28% 11% 24% < 0.0001
P. falciparum (ICT card positivity) 16.4% 8.5% 18% 11% 24% < 0.0001
W. bancrofti 9.8% 6.4% 9% 16% 4.3% < 0.0001
A. lumbricoides 0.5% 0.4% 0.7% 0.2% 0.3% 0.8006
T. trichiura 18.1% 37% 37% 8.9% 10% < 0.0001
S. haematobium intensity mean eggs/10 mL 109.4 195.6 138.3 52.3 51.4 < 0.0001
 Hookworm intensity mean epg 6.1 7.7 10.9 1.1 4.8 < 0.0001
Coinfection
S. haematobium–Trichuris 9.6% 25% 23.5% 2.6% 3.2% < 0.0001
S. haematobium–hookworm 9.3% 15.3% 17.5% 4.2% 7.6% < 0.0001
S. haematobiumPf malaria 6.9% 6.4% 14.9% 2.9% 6.7% < 0.0001
S. haematobium–filaria 4.2% 5.1% 6.7% 5.2% 1.2% < 0.0001
 Hookworm–Trichuris 6% 10.2% 14.2% 1.5% 4.3% < 0.0001
 Hookworm–Pf malaria 4.7% 3.4% 6.9% 1.2% 7.6% < 0.0001
 Hookworm–filaria 1.3% 1.3% 2.1% 1.2% 1.1% 0.4818
*

P value refers to significance of differences among the villages by ANOVA or χ2 testing.

ICT = rapid immuochromatography test for malaria. High- and low-risk villages refer to high and low S. haematobium prevalence, respectively.