Table 1.
N = 1150 | Weighted % (95% CI) | |
---|---|---|
Age group, years | ||
0–5 | 326 | 28.0 (25.0–31.0) |
6–10 | 572 | 44.6 (41.6–47.7) |
11–15 | 252 | 27.4 (23.7–31.1) |
Sex | ||
Female | 541 | 47.9 (44.4–51.4) |
Male | 609 | 52.1 (48.6–55.6) |
Proximity to water | ||
Far (>500 m) | 486 | 10.7 (8.1–13.4) |
Near (≤500 m) | 664 | 89.3 (86.6–91.9) |
Population density | ||
Low (<2683 children) | 753 | 67.6 (60.0–75.2) |
High (≥2683 children) | 397 | 32.4 (24.8–40) |
Season | ||
Dry season | 731 | 69.9 (57.7–82.2) |
Wet season | 419 | 30.1 (17.8–42.3) |
Region | ||
North-central | 697 | 60.8 (46.9–74.8) |
Northwest | 453 | 39.2 (25.2–53.1) |
Indoor residual spraying (IRS) sub-region | ||
Not an IRS district | 737 | 67.1 (53.1–81.0) |
IRS district | 413 | 32.9 (19.0–46.9) |
Indoor residual spraying (IRS) in house | ||
More than a year ago | 752 | 68.7 (55.8–81.6) |
In the past year | 392 | 31.3 (18.4–44.2) |
Sub-regions | ||
1 | 113 | 7.9 (2.6–13.2) |
2 | 289 | 22.6 (10.5–34.6) |
3 | 51 | 8.7 (0.5–17.9) |
4 | 97 | 9.6 (2.1–17.1) |
5 | 303 | 34.5 (20.0–49.0) |
6 | 90 | 2.3 (0.1–4.4) |
7 | 207 | 14.5 (4.5–24.5) |
Mother’s education | ||
Up to primary 4 | 581 | 55.3 (49.5–61.0) |
Primary 5 or higher | 565 | 44.7 (39.0–50.5) |
Mother’s income (Ugandan shillings) | ||
<30,000 USHS | 560 | 55.7 (48.8–62.6) |
≥30,000 USHS | 585 | 44.3 (37.4–51.2) |
Mosquito net used last night | ||
No | 777 | 71.1 (63.4–78.8) |
Yes | 366 | 28.9 (21.2–36.6) |
Inpatient malaria | ||
No | 725 | 63.4 (57.3–69.5) |
Past 12 months | 150 | 12.6 (9.2–16.0) |
More than 12 months | 269 | 24 (17.7–30.3) |
Outpatient malaria | ||
No | 523 | 36.5 (28.5–44.5) |
Past 12 months | 532 | 55.6 (47.5–63.6) |
More than 12 months | 89 | 7.9 (5.6–10.3) |
N shows unweighted numbers; totals in some categories may not add up to 100% because of missing data. Dry season months were January to March and July to August; Wet season months were April to June and September to December. Mother’s income was estimated in Ugandan shillings (30,000 Ugandan shillings are approximately equal to 10 US dollars). The survey estimates are weighted estimates that account for the differential probabilities in selecting the sample of children. Variance estimation takes the weights into account and also accounts for the clustering of the sample of children at the village level. The coefficient of variation of the final weights was 1.27 (defined as standard deviation/mean of the final weights)