| Literature DB >> 35636790 |
Nebiyu Dereje1, Abigel Tesfaye2, Beamlak Tamene2, Dina Alemeshet2, Haymanot Abe2, Nathnael Tesfa2, Saron Gedion2, Tigist Biruk2, Yabets Lakew2.
Abstract
OBJECTIVE: Data on COVID-19 vaccine hesitancy is limited in Ethiopia and other parts of Africa. Therefore, the aim of this study was to determine the level of COVID-19 vaccine hesitancy and its associated factors in Addis Ababa, Ethiopia.Entities:
Keywords: COVID-19; Hesitancy; Vaccine; attitude; knowledge
Mesh:
Substances:
Year: 2022 PMID: 35636790 PMCID: PMC9152622 DOI: 10.1136/bmjopen-2021-052432
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Sociodemographic characteristics of the study participants
| Frequency (N) | Percent (%) | ||
| Sex | Male | 115 | 28.1 |
| Female | 294 | 71.9 | |
| Age | 18–29 | 174 | 42.5 |
| 30–40 | 147 | 35.9 | |
| 41–50 | 40 | 9.8 | |
| >50 | 48 | 11.7 | |
| Marital status | Not married | 123 | 30.1 |
| Married | 255 | 62.3 | |
| Widowed | 20 | 4.9 | |
| Divorced | 11 | 2.7 | |
| Religion | Christian | 349 | 85.3 |
| Muslim | 60 | 14.7 | |
| Educational status | No formal education | 39 | 9.5 |
| Primary school | 105 | 25.7 | |
| Secondary and above | 265 | 64.8 | |
| Occupation | Unemployed/housewife | 190 | 46.5 |
| Employed | 219 | 53.5 | |
| Monthly income* | ≤3200 ETB (≤100 USD) | 175 | 42.8 |
| >3200 ETB (>100 USD) | 228 | 57.2 | |
*Six participants’ data missing.
ETB, Ethiopian Birr; USD, United States Dollar.
Figure 1Reasons of participants for refusing COVID-19 vaccination in Addis Ababa, Ethiopia.
Factors associated with COVID-19 vaccine hesitancy in Addis Ababa, Ethiopia, 2021
| Variables | Vaccine hesitancy | cOR (95% CI) | aOR (95% CI) | P value | |
| Yes (%) | No (%) | ||||
| Sex | |||||
| Male | 17 (21.8%) | 98 (29.6%) | 1.00 | 1.00 | 0.03 |
| Female | 61 (78.2%) | 233 (70.4%) | 1.49 (0.83 to 2.69) | 1.97 (1.10 to 3.89) | |
| Age | |||||
| 18–29 | 34 (43.6%) | 140 (42.3%) | 1.00 | 1.00 | |
| 30–40 | 24 (30.8%) | 122 (36.9%) | 0.81 (0.46 to 1.44) | 1.03 (0.55 to 1.92) | 0.934 |
| 41–50 | 12 (15.4%) | 29 (8.8%) | 1.77 (0.82 to 3.82) | 2.22 (0.94 to 5.21) | 0.067 |
| >50 | 8 (10.2%) | 40 (12.0%) | 0.82 (0.35 to 1.92) | 1.08 (0.39 to 2.97) | 0.892 |
| Religion | |||||
| Christian | 8 (10.3%) | 52 (15.7%) | 1.00 | 1.00 | 0.621 |
| Muslim | 70 (89.7%) | 278 (84.3%) | 1.64 (0.74 to 3.60) | 1.23 (0.54 to 2.83) | |
| Educational status | |||||
| No formal education | 9 (11.5%) | 30 (9.1%) | 1.11 (0.50 to 2.48) | 1.11 (0.39 to 3.16) | 0.840 |
| Primary education | 13 (16.7%) | 93 (28.1%) | 0.53 (0.27 to 1.01) | 0.81 (0.40 to 1.63) | 0.560 |
| Secondary and above | 56 71.8%) | 208 (62.8%) | 1.00 | 1.00 | |
| Attitude | |||||
| Positive attitude | 28 (35.9%) | 169 (51.1%) | 1.00 | 1.00 | 0.04 |
| Negative attitude | 50 (64.1%) | 162 (48.9%) | 1.87 (1.12 to 3.12) | 1.75 (1.08 to 3.02) | |
| Primary source of information | |||||
| TV/radio | 38 (48.7%) | 255 (77.0%) | 1.00 | 1.00 | |
| Social media (internet) | 40 (51.3%) | 76 (23.0%) | 3.53 (1.67 to 6.98) | 3.59 (1.75 to 7.37) | 0.0001 |
aOR, adjusted OR; cOR, crude OR.