Table 2.
Descriptive characteristics of the study population (n=557). The sum of absolute values may not add up to 557 because of different missing values in different variables (the precise number of respondents in each category and missing values can be found in Table 1).
|
|
“I think COVID-19 vaccine contains digital microchips,” respondents (n=550), n (%) | “I think COVID-19 vaccine will alter my DNA and genetic information,” respondents (n=547), n (%) | “Will you take COVID-19 vaccine?” respondents (n=550), n (%) | ||||||
|
|
Yes | No | Yes | No | Vaccine acceptance | Vaccine hesitance | |||
| Overall | 147 (26.7) | 403 (73.3) | 167 (30.5) | 380 (69.5) | 419 (76.2) | 131 (23.8) | |||
| Level of trust in government information | |||||||||
|
|
Low (score 1-4) | 81 (40.9) | 117 (59.1) | 100 (50.5) | 98 (49.5) | 94 (47.2) | 105 (52.8) | ||
|
|
Medium (score 5-6) | 28 (29.5) | 67 (70.5) | 30 (31.6) | 65 (68.4) | 80 (85.1) | 14 (14.9) | ||
|
|
High (score 7-10) | 35 (14.5) | 207 (85.5) | 36 (14.9) | 206 (85.1) | 229 (95) | 12 (5) | ||
| Gender | |||||||||
|
|
Women | 107 (27.3) | 285 (72.7) | 108 (27.8) | 280 (72.2) | 300 (77.1) | 89 (22.9) | ||
|
|
Men | 38 (25) | 114 (75) | 56 (36.6) | 97 (63.4) | 114 (73.6) | 41 (26.4) | ||
| Age group (in years) | |||||||||
|
|
20-29 | 14 (38.9) | 22 (61.1) | 10 (27.8) | 26 (72.2) | 25 (69.4) | 11 (30.6) | ||
|
|
30-39 | 34 (29.1) | 83 (70.9) | 46 (39.7) | 70 (60.3) | 82 (69.5) | 36 (30.5) | ||
|
|
40-49 | 59 (26) | 168 (74) | 59 (26.2) | 166 (73.8) | 176 (78.6) | 48 (21.4) | ||
|
|
50-59 | 34 (21.9) | 121 (78.1) | 47 (30.7) | 106 (69.3) | 121 (78.1) | 34 (21.9) | ||
|
|
>59 | 5 (38.5) | 8 (61.5) | 4 (28.6) | 10 (71.4) | 12 (85.7) | 2 (14.3) | ||
| Marital status | |||||||||
|
|
Single | 22 (44) | 28 (56) | 16 (32) | 34 (68) | 43 (86) | 7 (14) | ||
|
|
Married | 118 (24.4) | 365 (75.6) | 141 (29.4) | 339 (70.6) | 365 (75.6) | 118 (24.4) | ||
|
|
Divorced | 2 (50) | 2 (50) | 2 (50) | 2 (50) | 2 (50) | 2 (50) | ||
|
|
Widowed | 3 (33.3) | 6 (66.7) | 5 (55.6) | 4 (44.4) | 7 (77.8) | 2 (22.2) | ||
| Categories of health care worker | |||||||||
|
|
Medical doctor | 8 (11.8) | 60 (88.2) | 21 (31.3) | 46 (68.7) | 50 (72.5) | 19 (27.5) | ||
|
|
Nurse | 40 (33.3) | 80 (66.7) | 55 (45.8) | 65 (54.29 | 59 (50) | 59 (50) | ||
|
|
Pharmacist | 2 (20) | 8 (80) | 5 (50) | 5 (50) | 8 (80) | 2 (20) | ||
|
|
Laboratory scientist | 6 (37.5) | 10 (62.5) | 6 (37.5) | 10 (62.5) | 12 (80) | 3 (20) | ||
|
|
Community health extension officer | 55 (24.3) | 171 (75.7) | 43 (19.3) | 180 (80.7) | 205 (90.3) | 22 (9.7) | ||
|
|
Health assistant | 0 (0) | 4 (100) | 1 (25) | 3 (75) | 3 (100) | 0 (0) | ||
|
|
Other | 35 (34.3) | 67 (65.7) | 35 (34.3) | 67 (65.7) | 77 (74.8) | 26 (25.2) | ||
| Education | |||||||||
|
|
Secondary | 0 (0) | 4 (100) | 1 (25) | 3 (75) | 4 (100) | 0 (0) | ||
|
|
University degree | 75 (26.2) | 210 (73.7) | 93 (32.6) | 192 (67.4) | 214 (74.6) | 73 (25.4) | ||
|
|
Postgraduate | 36 (23.4) | 118 (76.6) | 47 (30.7) | 106 (69.3) | 113 (73.9) | 40 (26.1) | ||
|
|
Other | 34 (33.7) | 67 (66.3) | 25 (25.2) | 74 (74.8) | 82 (82) | 18 (18) | ||
| Chronic illness | |||||||||
|
|
Yes | 15 (28.8) | 37 (71.2) | 24 (47.1) | 27 (52.9) | 35 (67.3) | 17 (32.7) | ||
|
|
No | 130 (26.5) | 360 (73.5) | 139 (28.5) | 349 (71.5) | 379 (77.4) | 111 (22.6) | ||