Table 4.
Participant characteristics by informal settlement of residence (Kibera, Dandora, Huruma, Kariobangi, or Mathare) in Nairobi, Kenya
| Kibera | Dandora | Huruma | Kariobangi | Mathare | Total | p value | |
|---|---|---|---|---|---|---|---|
| N = 381 | N = 410 | N = 220 | N = 330 | N = 352 | N = 1693 | ||
| Gender | < 0.001 | ||||||
| Male | 100 (26%) | 190 (46%) | 45 (20%) | 154 (47%) | 131 (37%) | 620 (37%) | |
| Female | 281 (74%) | 220 (54%) | 175 (80%) | 176 (53%) | 221 (63%) | 1073 (63%) | |
| Age (in categories) | < 0.001 | ||||||
| < 24 years | 52 (14%) | 107 (26%) | 39 (18%) | 100 (30%) | 49 (14%) | 347 (20%) | |
| 25–34 years | 57 (15%) | 91 (22%) | 28 (13%) | 57 (17%) | 88 (25%) | 321 (19%) | |
| 35_44 years | 152 (40%) | 142 (35%) | 89 (40%) | 97 (29%) | 139 (39%) | 619 (37%) | |
| 45 + years | 120 (31%) | 70 (17%) | 64 (29%) | 76 (23%) | 76 (22%) | 406 (24%) | |
| Wealth quantile | < 0.001 | ||||||
| Poorest | 277 (73%) | 0 (0%) | 67 (30%) | 0 (0%) | 0 (0%) | 344 (20%) | |
| Poorer | 101 (27%) | 9 (2%) | 145 (66%) | 34 (10%) | 45 (13%) | 334 (20%) | |
| Middle | 3 (1%) | 75 (18%) | 8 (4%) | 103 (31%) | 161 (46%) | 350 (21%) | |
| Wealthier | 0 (0%) | 273 (67%) | 0 (0%) | 152 (46%) | 123 (35%) | 548 (32%) | |
| Wealthiest | 0 (0%) | 53 (13%) | 0 (0%) | 41 (12%) | 23 (7%) | 117 (7%) | |
| Perceived risk of COVID-19 | 0.033 | ||||||
| No/low risk | 119 (31%) | 109 (27%) | 72 (33%) | 88 (27%) | 76 (22%) | 464 (27%) | |
| Medium risk | 112 (29%) | 114 (28%) | 68 (31%) | 95 (29%) | 102 (29%) | 491 (29%) | |
| High risk | 146 (38%) | 185 (45%) | 78 (35%) | 144 (44%) | 169 (48%) | 722 (43%) | |
| Complete loss of income | 0.066 | ||||||
| No | 219 (57%) | 233 (57%) | 118 (54%) | 212 (64%) | 192 (55%) | 974 (58%) | |
| Yes | 162 (43%) | 177 (43%) | 102 (46%) | 118 (36%) | 160 (45%) | 719 (42%) | |
| Partial loss of income | 0.095 | ||||||
| No | 219 (57%) | 258 (63%) | 128 (58%) | 174 (53%) | 203 (58%) | 982 (58%) | |
| Yes | 162 (43%) | 152 (37%) | 92 (42%) | 156 (47%) | 149 (42%) | 711 (42%) | |
| Avoid public transportation due to COVID-19 | 0.24 | ||||||
| No | 106 (28%) | 111 (27%) | 47 (21%) | 74 (22%) | 84 (24%) | 422 (25%) | |
| Yes | 275 (72%) | 299 (73%) | 173 (79%) | 256 (78%) | 268 (76%) | 1,271 (75%) | |
| Mobility category | < 0.001 | ||||||
| Neighborhood mobility | 231 (61%) | 214 (52%) | 121 (55%) | 158 (48%) | 190 (54%) | 914 (54%) | |
| No mobility (stayed home) | 73 (19%) | 82 (20%) | 54 (25%) | 67 (20%) | 51 (14%) | 327 (19%) | |
| Citywide mobility | 77 (20%) | 114 (28%) | 45 (20%) | 105 (32%) | 111 (32%) | 452 (27%) |