Table 1.
Characteristics | West Africa (n=1105) | East Africa (n=213) | Southern Africa (n=402) | Central Africa (n=250) | P-value |
---|---|---|---|---|---|
Demographic variables | |||||
Age, mean (±SD) | 35.6 (11.1) | 33.8 (8.0) | 34.1 (14.0) | 28.2(9.2) | <0.001* |
Gender | |||||
Men | 684 (62.2%) | 122 (36.5%) | 155 (38.6%) | 124 (49.8.4%) | <0.001 |
Women | 415 (37.8%) | 90 (63.5%) | 247 (61.4%) | 123 (50.2%) | |
Employment status | |||||
Employed | 995 (90.4%) | 182 (86.3%) | 364 (90.5%) | 199 (80.6%) | <0.001 |
Unemployed | 106 (9.6%) | 29 (13.7%) | 38 (9.5%) | 48 (19.4%) | |
Marital status | |||||
Single | 520 (47.2%) | 90 (42.9%) | 241 (60.0%) | 178 (72.1%) | <0.001 |
Married | 543 (49.3%) | 119 (56.7%) | 138 (34.4%) | 66 (26.7%) | |
Other | 38 (3.5%) | 1 (0.4%) | 23 (5.6%) | 3 (1.2%) | |
Religion | |||||
Christian | 1031 (93.7%) | 191 (90.5%) | 286 (71.1%) | 230 (93.5%) | <0.001 |
Other | 69 (6.3%) | 20 (9.5%) | 116 (28.9%) | 16 (6.5%) | |
Level of education | |||||
Postgraduate degree | 417 (37.9%) | 82 (38.9%) | 93 (23.2%) | 41 (16.6%) | <0.001 |
University degree | 622 (56.5%) | 120 (56.9%) | 179 (44.6%) | 149 (60.3%) | |
High/Secondary/Primary school | 62 (5.6%) | 9 (4.2%) | 129 (32.2%) | 57 (23.1) | |
Occupation | |||||
Healthcare | 270 (24.5%) | 55 (26.1%) | 72 (17.9%) | 39 (15.8%) | 0.001 |
Non-Healthcare | 831 (75.5%) | 156 (73.9%) | 330 (82.1%) | 208 (84.2%) | |
Main Outcome variables | |||||
Impact of COVID-19 | |||||
Lost job | 152 (45.9%) | 47(56.0%) | 61 (37.9%) | 41 (45.1%) | 0.058 |
Closed down business | 86 (26.7%) | 26 (31.3%) | 38 (25.0%) | 27 (30.7%) | 0.654 |
Contracted COVID-19 | 77 (23.6%) | 24 (29.6%) | 16 (10.5%) | 26 (29.2%) | <0.001 |
Hospitalized due to COVID-19 | 121 (36.1%) | 32 (39.0%) | 64 (40.8%) | 38 (41.3%) | 0.682 |
Separated from family | 80 (24.7%) | 27 (32.1%) | 40 (25.6%) | 31 (35.2%) | 0.162 |
Any effect | 242 (21.9%) | 77 (36.2%) | 122 (30.3%) | 70 (28.0%) | 0.034 |
Notes: P-values are results of comparison between regions, *results of univariate analysis of variance (ANOVA) for age, others are Chi Square association between regions and demographic characteristics. P < 0.05 are statistically significant.
Abbreviations: COVID−19, novel coronavirus; SD, standard deviation.