Table 1 Survey 1 respondent descriptives
From: Characterising social contacts under COVID-19 control measures in Africa
| Â | Cameroon n=1449 | DRC n=1351 | Egypt n=1206 | Ethiopia n=1571 | Ghana n=1338 | Guinea n=1283 | Ivory Coast n=1416 | Kenya n=1123 | Liberia n=1366 | Mozambique n=1314 | Nigeria n=1304 | Senegal n=1259 | South Africa n=1395 | Sudan n=1438 | Tunisia n=1218 | Uganda n=1286 | Zambia n=1290 | Zimbabwe n=1333 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gender n (col %) | ||||||||||||||||||
 Female | 698 (48%) | 637 (47%) | 603 (50%) | 623 (40%) | 675 (50%) | 538 (42%) | 640 (45%) | 570 (51%) | 662 (48%) | 568 (43%) | 644 (49%) | 626 (50%) | 714 (51%) | 750 (52%) | 611 (50%) | 638 (50%) | 629 (49%) | 658 (49%) |
 Male | 751 (52%) | 714 (53%) | 603 (50%) | 948 (60%) | 663 (50%) | 745 (58%) | 776 (55%) | 553 (49%) | 704 (52%) | 746 (57%) | 660 (51%) | 633 (50%) | 681 (49%) | 688 (48%) | 607 (50%) | 648 (50%) | 661 (51%) | 675 (51%) |
Age group n (col %) | ||||||||||||||||||
 19–29 | 789 (54%) | 610 (45%) | 592 (49%) | 791 (50%) | 797 (60%) | 804 (63%) | 493 (35%) | 493 (44%) | 655 (48%) | 765 (58%) | 550 (42%) | 535 (42%) | 463 (33%) | 928 (65%) | 248 (20%) | 488 (38%) | 862 (67%) | 446 (33%) |
 30–39 | 425 (29%) | 429 (32%) | 315 (26%) | 477 (30%) | 392 (29%) | 290 (23%) | 573 (40%) | 364 (32%) | 408 (30%) | 348 (26%) | 520 (40%) | 427 (34%) | 473 (34%) | 298 (21%) | 281 (23%) | 382 (30%) | 213 (17%) | 387 (29%) |
 40–49 | 158 (11%) | 202 (15%) | 170 (14%) | 183 (12%) | 96 (7%) | 98 (8%) | 239 (17%) | 163 (15%) | 186 (14%) | 132 (10%) | 191 (15%) | 185 (15%) | 271 (19%) | 137 (10%) | 295 (24%) | 204 (16%) | 129 (10%) | 274 (21%) |
 50–59 | 53 (4%) | 81 (6%) | 102 (8%) | 71 (5%) | 35 (3%) | 59 (5%) | 79 (6%) | 80 (7%) | 78 (6%) | 44 (3%) | 35 (3%) | 73 (6%) | 129 (9%) | 55 (4%) | 208 (17%) | 124 (10%) | 76 (6%) | 140 (11%) |
 60 | 24 (2%) | 29 (2%) | 27 (2%) | 49 (3%) | 18 (1%) | 32 (2%) | 32 (2%) | 23 (2%) | 39 (3%) | 25 (2%) | 8 (1%) | 39 (3%) | 59 (4%) | 20 (1%) | 186 (15%) | 88 (7%) | 10 (1%) | 86 (6%) |
Area | ||||||||||||||||||
 Rural | 809 (56%) | 626 (46%) | 658 (55%) | 956 (61%) | 675 (50%) | 641 (50%) | 597 (42%) | 857 (76%) | 653 (48%) | 778 (59%) | 722 (55%) | 697 (55%) | 589 (42%) | 752 (52%) | 397 (33%) | 977 (76%) | 758 (59%) | 870 (65%) |
 Urban | 640 (44%) | 725 (54%) | 548 (45%) | 615 (39%) | 663 (50%) | 642 (50%) | 819 (58%) | 266 (24%) | 713 (52%) | 536 (41%) | 582 (45%) | 562 (45%) | 806 (58%) | 686 (48%) | 821 (67%) | 309 (24%) | 532 (41%) | 463 (35%) |
Household head education n (col %) | ||||||||||||||||||
 No education | 56 (4%) | 10 (1%) | 74 (6%) | 326 (21%) | 104 (8%) | 386 (30%) | 329 (23%) | 77 (7%) | 179 (13%) | 146 (11%) | 21 (2%) | 351 (28%) | 38 (3%) | 119 (8%) | 248 (20%) | 311 (24%) | 38 (3%) | 49 (4%) |
 Primary | 430 (30%) | 71 (5%) | 105 (9%) | 299 (19%) | 224 (17%) | 224 (17%) | 470 (33%) | 204 (18%) | 134 (10%) | 382 (29%) | 85 (7%) | 279 (22%) | 273 (20%) | 244 (17%) | 489 (40%) | 514 (40%) | 145 (11%) | 212 (16%) |
 Secondary | 298 (21%) | 326 (24%) | 352 (29%) | 208 (13%) | 394 (29%) | 63 (5%) | 161 (11%) | 346 (31%) | 359 (26%) | 420 (32%) | 522 (40%) | 189 (15%) | 693 (50%) | 310 (22%) | 147 (12%) | 144 (11%) | 323 (25%) | 551 (41%) |
 Tertiary | 326 (22%) | 634 (47%) | 518 (43%) | 596 (38%) | 530 (40%) | 377 (29%) | 212 (15%) | 439 (39%) | 606 (44%) | 308 (23%) | 613 (47%) | 276 (22%) | 337 (24%) | 648 (45%) | 221 (18%) | 285 (22%) | 701 (54%) | 389 (29%) |
 Post-graduate | 261 (18%) | 292 (22%) | 134 (11%) | 106 (7%) | 50 (4%) | 204 (16%) | 219 (15%) | 37 (3%) | 82 (6%) | 23 (2%) | 58 (4%) | 114 (9%) | 27 (2%) | 105 (7%) | 102 (8%) | 17 (1%) | 69 (5%) | 83 (6%) |
 Missing | 78 (5.4%) | 18 (1.3%) | 23 (1.9%) | 36 (2.3%) | 36 (2.7%) | 29 (2.3%) | 25 (1.8%) | 20 (1.8%) | 6 (0.4%) | 35 (2.7%) | 5 (0.4%) | 50 (4.0%) | 27 (1.9%) | 12 (0.8%) | 11 (0.9%) | 15 (1.2%) | 14 (1.1%) | 49 (3.7%) |
Monthly income (USD) n (col %) | ||||||||||||||||||
 $0–$100 | 355 (24%) | 329 (24%) | 153 (13%) | 639 (41%) | 287 (21%) | 496 (39%) | 282 (20%) | 509 (45%) | 804 (59%) | 497 (38%) | 343 (26%) | 126 (10%) | 166 (12%) | 235 (16%) | 106 (9%) | 812 (63%) | 435 (34%) | 1109 (83%) |
 $101–$500 | 583 (40%) | 557 (41%) | 750 (62%) | 666 (42%) | 642 (48%) | 449 (35%) | 808 (57%) | 389 (35%) | 395 (29%) | 359 (27%) | 576 (44%) | 438 (35%) | 389 (28%) | 793 (55%) | 698 (57%) | 318 (25%) | 647 (50%) | 84 (6%) |
 $501–$2000 | 116 (8%) | 193 (14%) | 90 (7%) | 95 (6%) | 149 (11%) | 71 (6%) | 197 (14%) | 74 (7%) | 43 (3%) | 31 (2%) | 74 (6%) | 213 (17%) | 254 (18%) | 235 (16%) | 302 (25%) | 40 (3%) | 125 (10%) | 13 (1%) |
 Over $2000 | 10 (1%) | 85 (6%) | 6 (0%) | 16 (1%) | 13 (1%) | 12 (1%) | 8 (1%) | 8 (1%) | 16 (1%) | 5 (0%) | 31 (2%) | 70 (6%) | 44 (3%) | 18 (1%) | 19 (2%) | 4 (0%) | 5 (0%) | 8 (1%) |
 Missing | 385 (26.6%) | 187 (13.8%) | 207 (17.2%) | 155 (9.9%) | 247 (18.5%) | 255 (19.9%) | 121 (8.5%) | 143 (12.7%) | 108 (7.9%) | 422 (32.1%) | 280 (21.5%) | 412 (32.7%) | 542 (38.9%) | 157 (10.9%) | 93 (7.6%) | 112 (8.7%) | 78 (6.0%) | 119 (8.9%) |
Age | ||||||||||||||||||
 Median [IQR] | 28 [12] | 30 [13] | 30 [17] | 29 [11] | 28 [8.0] | 26 [12] | 33 [12] | 31 [13] | 30 [13] | 28 [12] | 30 [11] | 31 [13] | 35 [16] | 26 [11] | 41 [22] | 32 [17] | 26 [11] | 34 [18] |
Household size | ||||||||||||||||||
 Median [IQR] | 5.0 [4.0] | 6.0 [4.0] | 5.0 [2.0] | 5.0 [3.0] | 5.0 [4.0] | 7.0 [5.0] | 6.0 [4.0] | 5.0 [3.0] | 7.0 [4.0] | 5.0 [3.0] | 6.0 [3.0] | 9.0 [6.0] | 5.0 [3.0] | 7.0 [4.0] | 4.0 [2.0] | 6.0 [4.0] | 6.0 [3.0] | 5.0 [2.0] |