| Literature DB >> 35473953 |
Firew Asres1, Belachew Umeta2.
Abstract
BACKGROUND: The myths and conspiracy theories on the COVID-19 vaccine cause people to be hesitant and maleficent towards the vaccine.Entities:
Keywords: COVID-19; Jimma; Novel coronavirus vaccine; Vaccine
Year: 2022 PMID: 35473953 PMCID: PMC9040694 DOI: 10.1186/s40545-021-00397-6
Source DB: PubMed Journal: J Pharm Policy Pract ISSN: 2052-3211
Sociodemographic characteristics of participants
| Characteristics | Frequency (%) | |
|---|---|---|
| Age (mean ± SD) | 21.97 ± 1.63 | |
| Sex | ||
| Male | 252 (65.1) | |
| Female | 135 (34.9) | |
| Religion | ||
| Muslims | 81 (20.9) | |
| Orthodox | 151 (39.0) | |
| Protestant | 132 (34.1) | |
| Others | 23 (5.9) | |
| Department | ||
| Medicine | 108 (27.9) | |
| Medical laboratory | 81 (20.9) | |
| Pharmacy | 70 (18.1) | |
| Health officer | 39 (10.1) | |
| Nursing | 31 (8.0) | |
| Anesthesia | 29 (7.5) | |
| Environmental health | 20 (5.2) | |
| Midwifery | 9 (2.3) | |
| Year of study | ||
| 2nd | 159 (41.1) | |
| 3rd | 89 (23.0) | |
| 4th | 102 (26.4) | |
| 5th | 26 (6.7) | |
| 6th | 11 (2.8) | |
| Residency | ||
| Urban | 280 (72.4) | |
| Rural | 107 (27.6) | |
COVID-19 vaccine awareness among Jimma University Institute of Health students
| Variables | Awareness status | Sig | |
|---|---|---|---|
| Good | Poor | ||
| Sex | |||
| Male | 98 | 154 | 0.230 |
| Female | 61 | 74 | |
| Department | |||
| Medicine | 43 | 65 | 0.481 |
| Medical laboratory | 30 | 51 | |
| Pharmacy | 33 | 37 | |
| Health officer | 16 | 23 | |
| Nursing | 13 | 18 | |
| Anesthesia | 13 | 16 | |
| Environmental health | 5 | 15 | |
| Midwifery | 6 | 13 | |
| Year of study | |||
| 2nd | 55 | 104 | 0.002 |
| 3rd | 28 | 61 | |
| 4th | 57 | 45 | |
| 5th | 14 | 12 | |
| 6th | 5 | 6 | |
| Place of residency | |||
| Urban | 120 | 160 | 0.252 |
| Rural | 39 | 68 | |
| Religion | |||
| Muslims | 36 | 45 | 0.447 |
| Orthodox | 67 | 84 | |
| Protestant | 48 | 84 | |
| Others | 8 | 15 | |
Attitude of participants towards the COVID-19 vaccine
| Variables | Attitude status | Sig | |
|---|---|---|---|
| Positive | Negative | ||
| Sex | |||
| Male | 147 | 105 | 0.806 |
| Female | 77 | 58 | |
| Department | |||
| Medicine | 63 | 45 | |
| Medical laboratory | 54 | 27 | |
| Pharmacy | 32 | 38 | |
| Health officer | 20 | 19 | 0.196 |
| Nursing | 18 | 13 | |
| Anesthesia | 19 | 10 | |
| Environmental health | 11 | 9 | |
| Midwifery | 7 | 2 | |
| Year of study | |||
| 2nd | 83 | 76 | |
| 3rd | 51 | 38 | 0.157 |
| 4th | 68 | 34 | |
| 5th | 14 | 12 | |
| 6th | 8 | 3 | |
| Place of residency | |||
| Urban | 161 | 119 | 0.806 |
| Rural | 63 | 44 | |
| Religion | |||
| Muslims | 51 | 30 | |
| Orthodox | 86 | 65 | 0.60 |
| Protestant | 76 | 56 | |
| Others | 11 | 12 | |
Fig. 1COVID-19 Vaccine acceptance among participants
Factors associated with knowledge and attitude of participants towards COVID-19 vaccine
| Sociodemographic characteristics | Awareness | AOR (95% CI) | Attitude COR (95% CI) | AOR (95% CI) | ||
|---|---|---|---|---|---|---|
| COR (95% CI) | p-value | COR (95% CI) | p-value | |||
| Sex | ||||||
| Male | 1 | 1 | 1.05 (0.69, 1.61) | 0.806 | ||
| Female | 1.30 (0.85, 1.98) | 0.231 | 1.39 (0.90, 2.14) | 1 | ||
| Age | 1.11 (0.98, 1.26) | 0.099 | 1.10 (0.96, 1.27) | 1.20 (1.05, 1.37) | 0.007 | 1.18 (1.03, 1.35)* |
| Department | ||||||
| Health sciencesa | 1 | 1 | ||||
| othersb | 0.93 (0.59, 1.46) | 0.752 | 1.03 (0.65, 1.61) | 0.911 | ||
| Year of study | ||||||
| 1–4 | 1 | 1 | 1 | |||
| > 4 | 1.58 (0.80, 3.12) | 0.185 | 1.35 (0.64, 2.83) | 1.08 (0.54, 2.14) | 0.838 | |
| Religion | ||||||
| Christians | 1 | 1 | ||||
| Muslims | 1.19 (0.73, 1.95) | 0.49 | 1.31 (0.79, 2.16) | 0.298 | ||
| Place of residency | ||||||
| Urban | 1.31 (0.83, 2.07) | 0.252 | 1 | |||
| Rural | 1 | 1.06 (0.67, 1.66) | 0.806 | |||
| Awareness status | ||||||
| Good | 2.47 (1.61, 3.79) | < 0.001 | 2.39 (1.55, 3.68)* | |||
| Poor | 1 | 1 | ||||
aStudents of Pharmacy, medical laboratory, nursing, anesthesia, environmental health bDentistry, health officer and medicine students. *significance
Participants reasons for refusing the COVID-19 vaccine
| Reasons for refusing to take COVID-19 vaccine | Frequency (%) |
|---|---|
| To short time for development | 131 (33.9) |
| Not convinced of the safety standards of vaccine | 150 (38.8) |
| Afraid of long-term effects | 191 (49.1) |
| Harmful substance in vaccine | 104 (26.9) |
| Vaccine causing COVID-19 | 47 (12.1) |
| Vaccine will not help, it is not effective | 46 (11.9) |
| Not safe with lower efficacy | 57 (14.7) |
| I want to build my own immunity/I prefer other ways of protection | 89 (23) |
| Do not trust system/something that nobody knows about | 109 (28.2) |
| Vaccine not reliable | 71 (18.3) |
| Doubts about the vaccine, due to short time for development | 123 (31.8) |
| Do not believe COVID-19 is a threat | 35 (9.0) |
| COVID-19 is overrated, no vaccine is needed | 26 (6.7) |
| It is Biological weapon | 68 (16.8) |
| I am not a guinea pig | 47 (12.1) |
| I would not like to be like who first took it | 38 (9.8) |
| Do not have enough information about vaccine | 144 (37.2) |
| Political game | 118 (30.5) |
| Vaccine is a money-making venture | 49 (12.7 |