尼日利亚哈科特港河流州立大学生物医学专业学生COVID-19患病率及相关因素:一项横断面研究

Porto biomedical journal Pub Date : 2025-03-18 eCollection Date: 2025-03-01 DOI:10.1097/j.pbj.0000000000000283
Moore I Mike-Ogburia, Gift M Hart, Barynem Vito-Peter, Aisha Dio, Victory C Nwogu
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引用次数: 0

摘要

背景:2019冠状病毒病(COVID-19)大流行深刻影响了全球健康,强调有必要对大学生等特定人群进行评估,以更好地了解感染的流行情况及其决定因素。本研究调查了尼日利亚哈科特港河流州立大学生物医学科学专业学生中COVID-19的流行情况及其相关因素。方法:于2022年3月至8月对220名学生进行横断面研究。数据收集采用访谈者填写的问卷,同时使用Panbio™COVID-19抗原快速检测装置筛查COVID-19感染。数据分析包括描述性统计和推断性统计,P≤0.05为统计学显著性。结果:新冠肺炎患病率为11.4% (95% CI: 7.8 ~ 16.2)。观察到COVID-19的流行与口罩使用、洗手习惯、使用消毒剂和住宿性质之间存在显著关联。然而,在多变量分析中,只有不遵守口罩使用被确定为COVID-19感染的重要独立预测因子(aOR = 4.350, 95% CI: 1.379-14.13, P = 0.0124)。结论:本研究突出了2019冠状病毒病在生物医学专业学生中的流行情况。量身定制的公共卫生战略至关重要,强调遵守预防措施是减少COVID-19在这一关键人口群体中传播的手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prevalence and associated factors of COVID-19 among biomedical science students of Rivers State University, Port Harcourt, Nigeria: a cross-sectional study.

Background: 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.

Methods: 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 P ≤ .05.

Results: 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, P = .0124).

Conclusion: 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.

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