| Literature DB >> 34046135 |
Yusuff Adebayo Adebisi1, Aishat Jumoke Alaran2, Obasanjo Afolabi Bolarinwa3, Wuraola Akande-Sholabi1, Don Eliseo Lucero-Prisno4.
Abstract
INTRODUCTION: COVID-19 pandemic is a global public health threat facing mankind. There is no specific antiviral treatment for COVID-19, and many vaccine candidates are currently under clinical trials. This study aimed to understand the perception of social media users regarding a hypothetical COVID-19 vaccine in Nigeria.Entities:
Keywords: COVID-19; COVID-19 vaccine; Nigeria; social media users; vaccine acceptance; vaccine hesitancy
Mesh:
Substances:
Year: 2021 PMID: 34046135 PMCID: PMC8140724 DOI: 10.11604/pamj.2021.38.230.27325
Source DB: PubMed Journal: Pan Afr Med J
socio-demographic distribution of respondents
| Variable | N=517 | |
|---|---|---|
| Female | 223 | 43.1 |
| Male | 294 | 56.9 |
| 16-30 | 478 | 92.5 |
| 31-45 | 29 | 5.6 |
| 46-60 | 6 | 1.2 |
| 61+ | 4 | 0.7 |
| Employed | 179 | 34.6 |
| Student | 302 | 58.4 |
| Unemployed | 36 | 7.0 |
| North-Central | 77 | 14.9 |
| North-East | 6 | 1.2 |
| North-West | 12 | 2.3 |
| South-South | 69 | 13.4 |
| South-East | 55 | 10.6 |
| South-West | 298 | 57.6 |
| Graduate | 171 | 33.1 |
| Postgraduate | 52 | 10.0 |
| Secondary | 15 | 2.9 |
| Undergraduate | 279 | 54.0 |
Figure 1reasons for non-acceptance of the COVID-19 vaccine by our respondents (n=132)
association between selected socio-demographic variables, reservation toward vaccination and COVID-19 vaccine acceptance
| Variable N=517 | Do you have any reservations toward vaccination? (Reservations toward vaccination) | Will you take COVID-19 vaccine? (COVID-19 vaccine acceptance) | |||
|---|---|---|---|---|---|
| No n (%) | Yes n (%) | No n (%) | Yes n (%) | ||
| Female (223) | 171 (76.7) | 52 (23.3) | 63 (28.3) | 160 (71.7) | |
| Male (294) | 222 (75.5) | 72 (24.5) | 69 (23.5) | 225 (76.5) | |
| 16-30 (478) | 369 (77.2) | 109 (22.8) | 113 (23.6) | 365 (76.4) | |
| 31-45 (29) | 22 (75.9) | 7 (24.1) | 10 (34.5) | 19 (65.5) | |
| 46-60 (6) | 2 (33.3) | 4 (66.7) | 5 (83.3) | 1 (16.7) | |
| 61+ (4) | 0 (0.0) | 4 (100.0) | 4 (100.0) | 0 (0.0) | |
| Employed (179) | 125 (69.8) | 54 (30.2) | 46 (25.7) | 133 (74.3) | |
| Student (302) | 243 (80.5) | 59 (19.5) | 74 (24.5) | 228 (75.5) | |
| Unemployed (36) | 25 (69.4) | 11 (30.6) | 12 (33.3) | 24 (66.7) | |
| North-Central (77) | 55 (71.4) | 22 (28.6) | 20 (26.0) | 57 (74.0) | |
| North-East (6) | 6 (100.0) | 0 (0.0) | 2 (33.3) | 4 (66.7) | |
| North-West (12) | 7 (58.3) | 5 (41.7) | 5 (41.7) | 7 (58.3) | |
| South-South (69) | 51 (73.9) | 18 (26.1) | 14 (20.3) | 55 (79.7) | |
| South-East (55) | 41 (74.5) | 14 (25.5) | 24 (43.6) | 31 (56.4) | |
| South-West (298) | 233 (78.2) | 65 (21.8) | 67 (22.5) | 231 (77.5) | |
| Graduate (171) | 129 (75.4) | 42 (24.6) | 39 (22.8) | 132 (77.2) | |
| Postgraduate (52) | 30 (57.7) | 22 (42.3) | 20 (38.5) | 32 (61.5) | |
| Secondary (15) | 11 (73.3) | 4 (26.7) | 6 (40.0) | 9 (60.0) | |
| Undergraduate (279) | 223 (80.0) | 56 (20.0) | 67 (24.0) | 212 (76.0) | |
significant at P<0.05