| Literature DB >> 36061634 |
Addisu Tadesse Sahile1, Girma Demissie Gizaw2, Tennyson Mgutshini3, Zewdu Minwuyelet Gebremariam4, Getabalew Endazenaw Bekele5.
Abstract
Background: The coronavirus disease 2019 pandemic has had a devastating impact on the everyday lives of the world's population and to this end, the development of curative vaccines was upheld as a welcome panacea. Despite the undeniable negative impact of the disease on human beings, lower than expected proportions of people have taken up the vaccines, particularly in the developing non-Western world. Ethiopia represents an interesting case example, of a nation where COVID-19 vaccine acceptance levels have not been well investigated and a need exists to assess the overall level of vaccine acceptance.Entities:
Year: 2022 PMID: 36061634 PMCID: PMC9436617 DOI: 10.1155/2022/2313367
Source DB: PubMed Journal: Can J Infect Dis Med Microbiol ISSN: 1712-9532 Impact factor: 2.585
Characteristics of included studies, their area, sample size, and outcome.
| Author | Year | Region | Sample size | Prevalence (%) |
|---|---|---|---|---|
| Abebe et al. [ | 2021 | Southern, (Gurage) | 492 | 62.60 |
| Mohammed et al. [ | 2021 | Addis Ababa | 614 | 39.70 |
| Tadele Admasu [ | 2021 | Addis Ababa | 422 | 42.30 |
| Sahile et al. [ | 2022 | Addis Ababa | 407 | 39.80 |
| Tsegaw et al. [ | 2021 | Debre Berhan | 423 | 69.30 |
| Handebo et al. [ | 2021 | Gondar | 301 | 54.80 |
| Mose and Yeshaneh [ | 2021 | Southwest (Wolkite) | 396 | 70.70 |
| Mose [ | 2021 | Southern | 630 | 61.0 |
| Hailemariam et al. [ | 2021 | Southwest | 412 | 31.30 |
| Aemro et al. [ | 2021 | Northwest | 440 | 54.10 |
| Mose et al. [ | 2021 | Southwest | 420 | 58.80 |
| Belsti et al. [ | 2021 | Online | 1184 | 31.40 |
| Zeleke and Bayeh [ | 2021 | Northwest | 538 | 29.00 |
| Rikitu Terefa et al. [ | 2021 | Online | 522 | 62.10 |
| Oyekale [ | 2021 | Telephone | 2178 | 92.30 |
| Dereje et al. [ | 2021 | Addis Ababa | 422 | 80.90 |
| Adane et al. [ | 2021 | Northeast (Dessie) | 404 | 64.0 |
| Bereket et al. [ | 2021 | Online | 668 | 72.20 |
Figure 1PRISMA flow chart for showing the screening and selection process of studies.
Level of COVID-19 vaccine acceptance by study area and sample size.
| Variables | Characteristics | Included studies | Sample size | Prevalence (95% CI) |
|---|---|---|---|---|
| Area | Addis Ababa | 4 | 1865 | 51.8% (33.3%–69.8%) |
| Amhara | 5 | 2106 | 54.2% (39.4%–68.3%) | |
| Southern | 5 | 2350 | 57.0% (44.4%–68.7%) | |
| Other (online/telephone) | 4 | 4552 | 68.7% (34.1%–90.3%) | |
|
| ||||
| Sample size | <400 | 2 | 697 | 63.5% (59.8%–67.0%) |
| 400–800 | 13 | 6814 | 55.2% (46.7%–63.4%) | |
| >800 | 3 | 3362 | 74.0% (23.5%–96.4%) | |
Figure 2Forest plot for the pooled prevalence of COVID-19 vaccine acceptance.
Figure 3Funnel plot of the included studies.
Sources of heterogeneity across the studies.
| Source of heterogeneity | Coefficient | Standard error |
|
|
|---|---|---|---|---|
| Study area | 0.0731 | 0.4951 | 99.10 | 0.8827 |
| Sample size | 0.529 | 0.5709 | 99.08 | 0.3535 |