Table 1 Demographic characteristics and filarial prevalence (%) by ICT test in 10 sentinel sites, coastal Kenya, October 2015
Demographic | 2015 Population projections | Sentinel sites | n (%) | CFA prevalence (%) (95% CI) | Multivariable logistic | |
|---|---|---|---|---|---|---|
aOR (95% CI)a | P-value | |||||
County | ||||||
 Kwale | 792,698 | 3 | 877 (29.5) | 1.1 (0.6–2.1) | – | – |
 Kilifi | 1,307,185 | 3 | 911 (30.6) | 0.9 (0.4–1.8) | – | – |
 Tana River | 292,885 | 2 | 593 (19.9) | 0 | – | – |
 Lamu | 123,842 | 1 | 320 (10.8) | 6.3 (4.1–9.7) | – | – |
 Taita-Taveta | 347,195 | 1 | 275 (9.2) | 0 | – | – |
All counties | 2,863,805 | 10 | 2,976 | 1.3 (0.9–1.8) | – | – |
Sex | ||||||
 Male | – | 10 | 1,260 (42.3) | 1.5 (0.9–2.4) | 1.58 (0.85–2.95) | 0.148 |
 Female | – | 10 | 1,716 (57.7) | 1.1 (0.7–1.7) | Reference |  |
Age group | ||||||
  < 10 | – | 10 | 865 (29.1) | 0.7 (0.3–1.7) | Reference |  |
 10–17 | – | 10 | 609 (20.5) | 0.2 (0–1.2) | 0.23 (0.03–2.05) | 0.188 |
  ≥ 18 | – | 10 | 1,502 (50.5) | 2.1 (1.5–2.9) | 3.12 (1.16–8.43) | 0.024* |
LLIN use | ||||||
 Yes | – | 10 | 2,647 (88.9) | 1.1 (0.8–1.6) | 0.40 (0.19–0.86) | 0.019* |
 No | – | 10 | 329 (11.1) | 2.7 (1.4–5.2) | Reference |  |