| Literature DB >> 35899168 |
Mohammed Noushad1, Mohammad Zakaria Nassani1, Mohammed Sadeg Al-Awar2,3, Inas Shakeeb Al-Saqqaf4, Sami Osman Abuzied Mohammed5, Abdulaziz Samran1, Ali Ango Yaroko6, Ali Barakat1, Omar Salad Elmi7, Anas B Alsalhani8, Yousef Fouad Talic1, Samer Rastam9.
Abstract
Objectives: Preventing severe disease and acquiring population immunity to COVID-19 requires global immunization coverage through mass vaccination. While high-income countries are battling vaccine hesitancy, low-income and fragile nations are facing the double dilemma of vaccine hesitancy and lack of access to vaccines. There is inadequate information on any correlation between vaccine hesitancy and access to vaccines. Our study in a low-income nation aimed to fill this gap.Entities:
Keywords: COVID-19; Yemen; lack of access; low-income country; vaccine acceptance
Mesh:
Substances:
Year: 2022 PMID: 35899168 PMCID: PMC9309570 DOI: 10.3389/fpubh.2022.914943
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Sample characteristics: data are presented as n (%).
|
| |
|---|---|
| Total | 1,581 |
|
| |
| Male | 855 (54.1%) |
| Female | 726 (45.9%) |
|
| |
| 18–29 years | 987 (62.4%) |
| 30–49 years | 387 (24.5%) |
| ≥50 years | 207 (13.1%) |
|
| |
| Yemeni | 1,580 (99.9%) |
| Foreigner | 1 (0.1%) |
|
| |
| Aden province | 164 (10.4%) |
| Azal province | 832 (52.6%) |
| Hadhramout province | 101 (6.4%) |
| Jund province | 168 (10.6%) |
| Sheba province | 189 (12%) |
| Tihama province | 127 (8%) |
|
| |
| Public | 487 (30.8%) |
| Private | 911 (57.6%) |
| Both | 183 (11.6%) |
|
| |
| Doctor | 142 (9%) |
| Lab specialist/medical technician | 120 (7.6%) |
| Dentist | 158 (10%) |
| Nurse/dental assistant/midwife | 206 (13%) |
| Pharmacist | 409 (25.9%) |
| Physiotherapist, epidemiology, nutrition | 138 (8.7%) |
| Health care student | 137 (8.7%) |
| Other | 271 (17.1%) |
|
| |
| No | 1293 (81.8%) |
| Yes | 288 (18.2%) |
Awareness about COVID-19 infection.
|
| |
| No | 288 (18.2%) |
| Yes | 1,293 (81.8%) |
|
| |
| Mild | 132 (8.3%) |
| Moderate | 833 (52.7%) |
| Severe | 616 (39%) |
|
| |
| Good | 846 (53.5%) |
| Moderate | 622 (39.3%) |
| Poor | 113 (7.1%) |
|
| |
|
| |
| Low | 524 (33.1%) |
| Moderate | 856 (54.1%) |
| High | 201 (12.7%) |
|
| |
| No | 1,144 (72.4%) |
| Yes | 437 (27.6%) |
|
| |
| Agree | 1,175 (74.3%) |
| Not sure | 261 (16.5%) |
| Disagree | 145 (9.2%) |
|
| |
| No | 1,408 (89.1%) |
| Yes | 173 (10.9%) |
Data are presented as n (%).
Trust in COVID-19 Vaccines and Health Authorities, and access to vaccines.
|
| |
|---|---|
| Vaccines are necessary to overcome the COVID-19 pandemic and get back to normal life | 1,065 (67.4%) |
| I am concerned about the possible side effects of COVID-19 vaccines | 1,092 (69.1%) |
| I will delay taking the COVID-19 vaccine, as I feel there are others who deserve it more than me | 708 (44.8%) |
| Getting myself vaccinated for COVID-19 is important because I can also protect people with a weaker immune system | 1,103 (69.8%) |
| I will take the COVID-19 vaccine only if it is free | 500 (31.6%) |
| I think that vaccines against COVID-19 have been produced in a hurry without following recommended clinical trials and approval guidelines | 698 (44.1%) |
| I am happy with the way the health authorities have been managing the COVID-19 pandemic so far | 726 (45.9%) |
| I am happy with the health authorities' organization of the COVID-19 vaccination campaigns | 677 (42.8%) |
| I am happy with the way the Non-governmental organizations like the World Health Organization, Medicines Sans Frontiers, etc., have been helping my country in vaccinating its population | 768 (48.6%) |
| I am happy with the way the international community is helping my country in vaccinating its population | 761 (48.1%) |
| I support a mandatory vaccination program for COVID-19 | 646 (41.5%) |
| I have access to the COVID-19 vaccine | 711 (45.4%) |
Data are presented as n (%).
Bivariate statistical analysis of the relationship between the main outcome “intention to vaccinate” and potential influential factors.
|
|
| |
|---|---|---|
| All participants | 61.7% (975/1,581) | |
|
| 0.006 | |
| 18–29 years | 59.3% (585/987) | |
| 30–49 years | 64.1% (248/387) | |
| 50 years or above | 68.6% (142/207) | |
|
| 0.66 | |
| Male | 61.2% (523/855) | |
| Female | 62.3% (452/726) | |
|
| 0.001 | |
| Healthy | 59.8% (773/1,293) | |
| Has systemic disease/s | 70.1% (202/288) | |
|
| <0.001 | |
| No | 43.8% (126/288) | |
| Yes | 65.7% (849/1293) | |
|
| <0.001 | |
| Mild | 42.4% (56/132) | |
| Moderate | 59.8% (498/833) | |
| Severe | 68.3% (421/616) | |
|
| <0.001 | |
| Poor | 33.6% (38/113) | |
| Moderate | 57.4% (357/622) | |
| Good | 68.6% (580/846) | |
|
| <0.001 | |
| Low | 46.9% (246/524) | |
| Moderate | 65.5% (561/856) | |
| High | 83.6% (168/201) | |
|
| 0.60 | |
| No | 62.1% (710/1144) | |
| Yes | 60.6% (265/437) | |
|
| <0.001 | |
| No | 72% (352/489) | |
| Yes | 57.1% (623/1092) | |
|
| <0.001 | |
| No | 48.2% (413/856) | |
| Yes | 78.3% (557/711) |
p was calculated using chi-square test for trend.
p was calculated using chi-square test. Significance difference was set at p < 0.05.
The denominators indicate the total number of participants in this subgroup, and the numerators are the number of participants who agreed to accept a vaccine.
Predictors of intention to vaccinate.
|
|
| |
|---|---|---|
|
| ||
| 18–29 years | Ref | |
| 30–49 years | 1.37 (1.03–1.81) | 0.03 |
| 50 years or above | 1.02 (0.66–1.56) | 0.94 |
|
| ||
| Male | Ref | |
| Female | 0.99 (0.79–1.25) | 0.94 |
|
| ||
| Healthy | Ref | |
| Has systemic disease/s | 1.49 (1.03–2.16) | 0.03 |
|
| ||
| No | Ref | |
| Yes | 1.92 (1.43–2.57) | <0.001 |
|
| ||
| Mild | Ref | |
| Moderate | 1.61 (1.05–2.48) | 0.03 |
| Severe | 1.85 (1.18–2.91) | 0.007 |
|
| ||
| Poor | Ref | |
| Moderate | 2.1 (1.29–3.42) | <0.001 |
| Good | 3.36 (2.07–5.43) | 0.003 |
|
| ||
| Low | Ref | |
| Moderate | 1.4 (1.08–1.8) | 0.01 |
| High | 3.31 (2.08–5.25) | <0.001 |
|
| ||
| No | Ref | |
| Yes | 0.85 (0.65–1.1) | <0.001 |
|
| ||
| No | Ref | |
| Yes | 0.49 (0.38–0.64) | <0.001 |
|
| ||
| No | Ref | |
| Yes | 3.18 (2.5–4.03) | <0.001 |
Odds ratio and 95% confidence interval was calculated by a binary logistic model.
Significant difference at p < 0.05.