ERCEIVED IMPACT OF VACCINE PREVENTION ON COVID-19 AMONG NURSRS IN NSUKKA LGA ENUGU STATE
Abstract
The COVID-19 pandemic has significantly impacted global health system, with vaccination recognized as a vital strategy for prevention and control. Nurses, as frontline healthcare providers, play a crucial role in vaccine administration and advocacy, making their perception pivotal in influencing public acceptance. The study investigates the perceived impact of covid-19 vaccine prevention among nurses in Nsukka LGA Enugu State, Nigeria. A descriptive survey research design was adopted, targeting a population of 590 nurses across selected healthcare facilities, with a sample size of 399 nurses determined using Taro Yamane’s formula. Data were collected using a structured questionnaire and analyzed with descriptive statistics and inferential tests using SPSS. The study revealed that nurses in Nsukka LGA had a moderate to high perception of the benefits of COVID19 vaccination, with variation observed based on age, gender, years of experience, and marital status. Key factors influencing perception included knowledge of vaccine safety, peer influence, perceived risk, and trust in public health information. The study underscores the need target education campaigns and institutional support to address vaccine hesitancy and enhance uptake among nurses. Recommendations were made to improve communication strategies, training per grams, and access to credible vaccine information. Out of 399 questionnaires distributed, 383 were duly completed and analyzed, giving a 96% response rate. Most respondent were aged 30-39 years (42.0%). Female (61.0%) had 1–5 years of experience (51.4%). Findings showed an overall moderate perceived impact of COVID –19 Vaccination among nurses (mean =1.43 0.95). the highest rated perception included, Fewer C0VID-19 cases are observed among vaccinated nurses compared to unvaccinated ones(mean=1.99) and the COVID 19 vaccines should be recommended to colleagues and patients (mean =1.94) perception varied slightly by demographic differences in perception-based on age, gender, years of experience, marital status were mostly not statistically significant (p > 0,05).
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