Table 1. Characteristics and behavior of the population and households in the four villages in Kenya (2014–2018).
|
Predictors |
Chulaimbo N (%) |
Kisumu N (%) |
Ukunda N (%) |
Msambweni N (%) |
Total population N (%) |
|---|---|---|---|---|---|
| Coast | West | ||||
| Age group at recruitment (years) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 missing |
1 (0.1%) 23 (2.6%) 79 (8.9%) 79 (8.9%) 84 (9.5%) 86 (9.7%) 91 (10.2%) 90 (10.1%) 65 (7.3%) 71 (8%) 71 (7%) 78 (8.8%) 30 (3.4%) 12 (1.3%) 6 (0.6%) 1 (0.1%) 17 (1.9%) |
0 (0%) 28 (3.4%) 87 (10.7%) 80 (9.9%) 76 (9.4%) 72 (8.9%) 73 (9%) 68 (8.4%) 87 (10.7%) 73 (9.03%) 44 (5.4%) 59 (7.3%) 43 (5.3%) 33 (4.1%) 6 (0.7%) 0 (0%) 21 (2.5%) |
4 (0.4%) 18 (1.7%) 48 (4.7%) 79 (7.7%) 94 (9.2%) 105 (10.3%) 99 (9.7%) 90 (8.8%) 102 (10.0%) 77 (7.5%) 80 (7.8%) 57 (5.6%) 66 (6.5%) 17 (1.2%) 6 (0.5%) 2 (0.2%) 73 (7.1%) |
0 (0%) 18 (2.4%) 51(7.1%) 72 (9.9%) 71 (9.6%) 67 (9.1%) 52 (7.1%) 62 (8.4%) 56 (7.6%) 68 (9.2%) 74 (10.1%) 63 (8.5%) 31 (4.2%) 4 (0.5%) 2 (0.3%) 2 (0.3%) 43 (5.8%) |
5 (0.14%) 87 (0.3%) 265 (7.6%) 310 (8.9%) 325 (9.4%) 330 (9.6%) 315 (9.1%) 310 (8.9%) 310 (8.9%) 289 (8.4%) 269 (7.8%) 257 (7.4%) 170 (4.9%) 66 (1.9%) 20 (0.5%) 5 (0.14%) 154 (4.4%) |
| Gender Female Male Missing |
405 (45.8%) 459 (51.9%) 20 (2.2%) |
432 (53.4%) 355 (43.9%) 21 (2.6%) |
509 (50%) 437 (42.9%) 72 (7.07%) |
328 (44.5%) 364 (49.4%) 44 (5.9%) |
1674 (48.5%) 1615 (46.8%) 157 (4.5%) |
| More dense site Less dense site |
0 884 (100%) |
808 (100%) 0 |
1017(100%) 0 |
0 736 (100%) |
1825 (52.9%) 1620 (47.0%) |
| Crowding indexa 1–2 = >3 missing |
701 (79.2%) 96 (10.8%) 87 (9.8%) |
316 (39.1%) 410 (50.7%) 82 (10.1%) |
570 (56%) 370 (36.3%) 77 (7.5%) |
630 (85.6%) 60 (8.1%) 46 (6.2%) |
2217 (64.3%) 936 (27.1%) 292 (8.4%) |
| Water buckets in house Yes No |
486 (54.9%) 398 (45.0%) |
457 (56.5%) 351 (43.4%) |
222 (21.8%) 795 (78.1%) |
516 (70.1%) 220 (29.9%) |
1681 (48.7%) 1764 (51.2%) |
| Wealth index Index 1 (lowest) Index 2 Index 3 Index 4 (highest) |
264 (29.8%) 389 (44%) 145 (16.4%) 86 (9.7%) |
91 (11.2%) 113 (14%) 162 (20.0%) 442 (54.7%) |
549 (53.9%) 103 (10.2%) 53 (5.2%) 31 (3.04%) |
169 (22.9%) 223 (30.2%) 221 (30.0%) 404 (54.9%) |
1073 (31.1%) 828 (24.03%) 581 (16.7%) 963 (27.9%) |
| Travelb Yes No |
274 (30.9%) 610 (69.0%) |
435 (53.8%) 373 (461.6%) |
247 (24.2%) 770 (75.7%) |
240 (32.6%) 496 (67.3%) |
1196 (34.7%) 2249 (65.3%) |
| Outdoor time Yes No missing |
698 (78.9%) 95 (10.7%) 91 (10.3%) |
479 (59.3%) 223 (27.6%) 106 (13.1%) |
545 (53.6%) 3 (0.3%) 469 (46.1%) |
534 (72.5%) 1 (0.1%) 201 (27.3%) |
2256 (65.4%) 322 (9.3%) 867 (25.1%) |
| Trash in the housing compound Yes No |
381 (43.1%) 503 (56.9%) |
271 (33.5%) 537 (66.5%) |
38 (3.7%) 979 (96.2%) |
293 (39.8%) 443 (60.2%) |
983 (28.5%) 2462 (71.4%) |
| Use of window screens Yes No missing |
200 (22.6%) 597 (67.5%) 87 (9.8%) |
152 (18.8%) 574 (71.03%) 82 (10.1%) |
746 (73.3%) 194 (19.1%) 77 (7.5%) |
386 (52.4%) 289 (39.3%) 61 (8.2%) |
1484 (43.1%) 1654 (48.0%) 307 (8.9%) |
| Mosquito indexc 0 1 |
748 (84.6%) 136 (15.4%) |
656 (81.1%) 152 (18.7%) |
988 (97.1%) 29 (2.8%) |
727 (98.7%) 9 (1.2%) |
3119 (90.5%) 326 (9.4%) |
a Crowding index is composed of number of people living in the house divided by the number of rooms in the house
b Travel indicates the travel of a child more than 10 km from the site of their residence in the last six months
c Mosquito index comprises of the usage of mosquito coil, mosquito repellent or mosquito spray by the children