Mike-Ogburia Moore I, Hart Gift M, Vito-Peter Barynem, Dio Aisha, Nwogu Victory C
Department of Medical Laboratory Science, Rivers State University, Port Harcourt, Nigeria.
School of Public Health, University of Port Harcourt, Port Harcourt, Nigeria.
Porto Biomed J. 2025 Mar 18;10(2):e283. doi: 10.1097/j.pbj.0000000000000283. eCollection 2025 Mar-Apr.
The coronavirus disease 2019 (COVID-19) pandemic has profoundly affected global health, emphasizing the need to assess specific populations such as university students to better understand the prevalence of the infection and its determinants. This study investigated the prevalence and associated factors of COVID-19 among biomedical science students at Rivers State University, Port Harcourt, Nigeria.
A cross-sectional study was conducted among 220 students from March to August 2022. Data collection was performed using interviewer-administered questionnaires while COVID-19 infection was screened using the Panbio™ COVID-19 Ag Rapid Test Device. Data analysis involved both descriptive and inferential statistics, with statistical significance set at ≤ .05.
The prevalence of COVID-19 was 11.4% (95% CI: 7.8-16.2). Significant associations were observed between COVID-19 prevalence and facemask use, handwashing practices, use of sanitizers, and nature of accommodation. However, in the multivariable analysis, only noncompliance with facemask use was identified as a significant independent predictor of COVID-19 infection (aOR = 4.350, 95% CI: 1.379-14.13, = .0124).
The study highlights a concerning prevalence of COVID-19 among biomedical science students. Tailored public health strategies are essential, emphasizing compliance with preventive measures as a means to mitigate COVID-19 transmission within this crucial demographic.
2019年冠状病毒病(COVID-19)大流行对全球健康产生了深远影响,这凸显了评估特定人群(如大学生)以更好地了解感染流行情况及其决定因素的必要性。本研究调查了尼日利亚哈科特港河流州立大学生物医学专业学生中COVID-19的流行情况及相关因素。
2022年3月至8月对220名学生进行了一项横断面研究。通过访谈员管理的问卷进行数据收集,同时使用Panbio™ COVID-19抗原快速检测设备筛查COVID-19感染情况。数据分析包括描述性统计和推断性统计,统计学显著性设定为≤.05。
COVID-19的患病率为11.4%(95%可信区间:7.8 - 16.2)。在COVID-19患病率与口罩使用、洗手习惯、消毒剂使用及住宿性质之间观察到显著关联。然而,在多变量分析中,只有不遵守口罩使用规定被确定为COVID-19感染的显著独立预测因素(调整后比值比 = 4.350,95%可信区间:1.379 - 14.13,P =.0124)。
该研究突出了生物医学专业学生中令人担忧的COVID-19流行情况。量身定制的公共卫生策略至关重要,强调遵守预防措施是减轻这一关键人群中COVID-19传播的一种手段。