A Cross-Sectional Study to Understand COVID-19 Vaccine Hesitancy Among Nursing Students and Health Workers: Implications for Future Outbreak Preparedness in South Africa
Highlights
- COVID-19 vaccine hesitancy among HCWs and nursing students may reduce vaccination coverage and potentially compromise workforce preparedness during future infectious disease outbreaks.
- Understanding factors associated with voluntary vaccine uptake is critical for strengthening preparedness for future infectious disease emergencies in South Africa.
- Despite generally positive knowledge and attitudes toward COVID-19 vaccination, concerns about vaccine safety, long-term effects, and mandatory vaccination policies persisted among respondents.
- Age and occupational role were significant predictors of voluntary vaccination uptake, highlighting the importance of demographic-specific approaches to vaccine promotion.
- Tailored communication and educational interventions should target younger HCWs and nursing students to address persistent misconceptions, incorrect beliefs arising from misinformation (false or inaccurate information shared irrespective of intent) or personal interpretation, and vaccine-related concerns.
- Future outbreak preparedness strategies should prioritize trust-building, transparent risk communication, and voluntary vaccine engagement to improve vaccine acceptance among healthcare personnel.
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Setting
2.3. Participants and Recruitment
2.4. Variables
2.5. Data Sources and Measurement
2.6. Bias
2.7. Study Size
2.8. Quantitative Variables
2.9. Statistical Methods
3. Results
3.1. Participants
3.2. Descriptive Data
3.3. Outcome Data
3.4. Main Results
3.5. Logistic Regression Analysis of Factors Influencing COVID-19 Vaccination Decisions
3.6. Demographic Differences in COVID-19 Vaccine Knowledge, Attitudes, and Perceptions
4. Discussion
- Vaccination Uptake and Attitudes Toward Mandates
- Knowledge and Perceptions of COVID-19 Vaccination
- Influence of Demographics on Vaccine Knowledge and Attitudes
- Perceptions of Vaccine Safety and Effectiveness
- Sources of Vaccine Information and Communication Strategies
- The public health implications of this study
- Limitations of the Study
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| KAPs | Knowledge, Attitudes and Perceptions |
| HCWs | Healthcare Workers |
| COVID-19 | Coronavirus Disease of 2019 |
| HPV | Human Papillomavirus |
| EPI | Expanded Program on Immunization |
| OHSA | Occupational Health and Safety Act |
| SAHPRA | South African Health Products Regulatory Authority |
| KMO | Kaiser–Meyer–Olkin |
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| Characteristics | Frequency (n) | Percentage (%) |
|---|---|---|
| Respondents’ age | ||
| 18–25 years | 75 | 20.2 |
| 26–40 years | 144 | 38.8 |
| 41–55 years | 136 | 36.7 |
| Above 55 years | 16 | 4.3 |
| Missing | 1 | 0.3 |
| Sex of Health Workers | ||
| Male | 70 | 18.8 |
| Female | 302 | 81.2 |
| Marital status | ||
| Single | 252 | 67.9 |
| Married | 103 | 27.8 |
| Divorced | 6 | 1.6 |
| Widowed | 10 | 2.7 |
| Missing | 1 | 0.3 |
| Occupation | ||
| Nursing students | 344 | 92.5 |
| Academic staff | 21 | 5.6 |
| Admin and support staff | 7 | 1.9 |
| Vaccination status (n = 370) | ||
| Fully vaccinated (including boosters) | 104 | 28.1 |
| Fully vaccinated (no boosters) | 157 | 42.2 |
| Vaccinated but awaiting 2nd dose | 23 | 6.2 |
| Not vaccinated | 86 | 23.2 |
| Mandatory vs. voluntary vaccination (n = 275) | ||
| Mandatory | 77 | 28.0 |
| Voluntary | 198 | 72.0 |
| COVID-19 infections (n = 371) | ||
| Yes (before vaccination/not vaccinated) | 93 | 25.1 |
| Yes (after vaccination) | 52 | 14.0 |
| No | 226 | 60.9 |
| Primary media sources for information (n = 371) | ||
| Internet | 88 | 23.9 |
| Electronic media (TV, radio) | 154 | 41.8 |
| Social media | 128 | 34.8 |
| Print media (newspapers, local magazines, etc. | 8 | 2.2 |
| People (community, family members) | 27 | 7.3 |
| No. | Knowledge Statements | Likert Scale Responses (n, %) | M (SD) | ||
|---|---|---|---|---|---|
| Strongly Disagree/Disagree | Neutral | Strongly Agree/Agree | |||
| K1 | COVID-19 vaccines are effective at keeping you from getting COVID-19. | 100 (27.2%) | 109 (29.6%) | 159 (43.2%) | 3.15 (1.27) |
| K2 | Employees maintain the regulations for preventing COVID-19 after vaccination (e.g., social distancing). | 21 (5.8%) | 20 (5.5%) | 321 (88.7%) | 4.34 (0.90) |
| K3 | COVID-19 vaccine will also help keep you from getting seriously ill even if you get COVID-19. | 90 (24.9%) | 64 (17.7%) | 208 (57.5%) | 3.48 (1.29) |
| K4 | During the COVID-19 pandemic, fully vaccinated individuals were subject to fewer movement and activity restrictions than those who were not fully vaccinated. | 182 (50.3%) | 53 (14.6%) | 127 (35.1%) | 2.74 (1.38) |
| K5 | There is a website where you can apply for vaccination in South Africa. | 26 (7.2%) | 46 (12.7%) | 290 (80.1%) | 4.12 (0.95) |
| K6 | Like all other vaccines, this vaccine has the potential for some side effects. | 25 (6.7%) | 20 (5.5%) | 317 (87.6%) | 4.32(1.19) |
| K7 | Vaccines can be given to a person with pre-existing health conditions. | 78 (21.5%) | 60 (16.6%) | 224 (61.9%) | 3.57 (1.38) |
| K8 | The vaccine can be given to pregnant women. | 143 (39.4%) | 67 (18.5%) | 153 (42.3%) | 2.99 (1.18) |
| K9 | If there are side effects due to COVID-19 vaccination, they normally go away in a few days. | 62 (17.1%) | 61 (16.9%) | 239 (66.0%) | 3.69 (1.26) |
| K10 | The COVID-19 vaccine can create long-term physical and health problems. | 109 (30.1%) | 102 (28.2%) | 151 (41.7%) | 3.21 (0.96) |
| Knowledge construct | 3.56 (1.78) | ||||
| No. | Attitude and Perception Statements | Likert Scale Responses (n, %) | M (SD) | ||
|---|---|---|---|---|---|
| Strongly Disagree/Disagree | Neutral | Strongly Agree/Agree | |||
| AP1 | I feel personally concerned about the impact of the COVID-19 pandemic. | 14 (3.9%) | 34 (9.5%) | 310 (86.6%) | 4.26 (0.85) |
| AP2 | I think that the COVID-19 vaccine is safe and effective. | 51 (14.2%) | 113 (31.6%) | 194 (54.2%) | 3.54 (1.06) |
| AP3 | If I am eligible for the vaccine, I need to take it as soon as possible. | 61 (17.0%) | 85 (23.7%) | 212 (59.2%) | 3.59 (1.14) |
| AP4 | I am aware that my family and neighbours should take the vaccine. | 22 (5.9%) | 48 (12.9%) | 302 (81.2%) | 4.11 (0.95) |
| AP5 | I should motivate my family and neighbours to take the vaccine. | 38 (10.2%) | 64 (17.2%) | 270 (72.6%) | 3.92 (1.09) |
| AP6 | I think vaccination will help us stop the spread of COVID-19. | 48 (12.9%) | 68 (18.3%) | 256 (68.8%) | 3.80 (1.10) |
| AP7 | I think I’m not informed enough about vaccines. | 182 (48.9%) | 81 (21.8%) | 109 (29.3%) | 2.70 (1.27) |
| AP8 | Are you hesitant to take the COVID-19 vaccine? | 158 (42.5%) | 89 (23.9%) | 125 (33.6%) | 2.89 (1.35) |
| AP9 | Should the vaccine be mandatory for healthcare workers? | 140 (40.3%) | 50 (13.4%) | 172 (46.2%) | 3.08 (1.52) |
| AP10 | Should the vaccine be mandatory for all South Africans? | 165 (44.4%) | 71 (19.1%) | 136 (36.6%) | 2.83 (1.45) |
| Attitude and perception construct | 3.47 (1.18) | ||||
| Vaccine hesitancy statements | |||||
| VH1 | I don’t think I am eligible for it. | 213 (57.3%) | 75 (20.3%) | 84 (22.6%) | 2.48 (1.19) |
| VH2 | I don’t know enough about it. | 218 (58.6%) | 66 (17,7%) | 88 (23.7%) | 2.51 (1.32) |
| VH3 | I am afraid of the side effects. | 160 (43.0%) | 62 (16.7%) | 150 (40.3%) | 2.97 (1.34) |
| VH4 | I may have to pay money for it. | 305 (82.0%) | 37 (9.9%) | 30 (8.1%) | 1.80 (1.02) |
| VH5 | It is against my religious beliefs. | 279 (75.0%) | 50 (13.4%) | 43 (11.6%) | 2.00 (1.10) |
| VH6 | Due to other reasons. | 184 (50.3%) | 60 (16.1%) | 125 (22.6%) | 2.70 (1.40) |
| Hesitancy construct | 2.41 (1.24) | ||||
| Mandatory vs. Voluntary Vaccination | Adjusted Odds Ratio | 95% Confidence Interval | p-Value | |
|---|---|---|---|---|
| Lower Bound | Upper Bound | |||
| Sex (ref = male) | 0.655 | 0.290 | 1.480 | 0.309 |
| Marital status (ref = single/divorced) | 0.847 | 0.551 | 1.301 | 0.448 |
| Occupation (ref = nursing students) | 2.289 | 1.083 | 4.838 | 0.030 |
| Age group (ref = 18–40 years) | 0.629 | 0.416 | 0.949 | 0.027 |
| Vaccination status † | 0.694 | 0.461 | 1.046 | 0.081 |
| COVID-19 infection status † | 1.010 | 0.722 | 1.415 | 0.953 |
| Knowledge of COVID-19 vaccine (per one-unit increase) | 0.962 | 0.667 | 1.389 | 0.837 |
| Attitude and perceptions towards COVID-19 vaccine (per one-unit increase) | 0.940 | 0.634 | 1.396 | 0.760 |
| Reasons behind hesitating to take the COVID-19 vaccine (per one-unit increase) | 0.878 | 0.632 | 1.218 | 0.435 |
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Mokoena, L.; Moloi, T.A.; Singh, T. A Cross-Sectional Study to Understand COVID-19 Vaccine Hesitancy Among Nursing Students and Health Workers: Implications for Future Outbreak Preparedness in South Africa. Int. J. Environ. Res. Public Health 2026, 23, 1042. https://doi.org/10.3390/ijerph23081042
Mokoena L, Moloi TA, Singh T. A Cross-Sectional Study to Understand COVID-19 Vaccine Hesitancy Among Nursing Students and Health Workers: Implications for Future Outbreak Preparedness in South Africa. International Journal of Environmental Research and Public Health. 2026; 23(8):1042. https://doi.org/10.3390/ijerph23081042
Chicago/Turabian StyleMokoena, Lindokuhle, Teboho Abram Moloi, and Tanusha Singh. 2026. "A Cross-Sectional Study to Understand COVID-19 Vaccine Hesitancy Among Nursing Students and Health Workers: Implications for Future Outbreak Preparedness in South Africa" International Journal of Environmental Research and Public Health 23, no. 8: 1042. https://doi.org/10.3390/ijerph23081042
APA StyleMokoena, L., Moloi, T. A., & Singh, T. (2026). A Cross-Sectional Study to Understand COVID-19 Vaccine Hesitancy Among Nursing Students and Health Workers: Implications for Future Outbreak Preparedness in South Africa. International Journal of Environmental Research and Public Health, 23(8), 1042. https://doi.org/10.3390/ijerph23081042

