尼日利亚宾汉姆大学COVID-19大流行风险评估建模

A. Emmanuel, Samson Bimba John, Eseigbe Edwin Ehi, A. Jighjigh, M. Yusuf, C. Akude, Haroun Isah Omeiza, Ojarikre Oniore Jonathan
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引用次数: 0

摘要

COVID-19病毒已在非洲各地蔓延,并蔓延到尼日利亚的36个州,包括联邦首都直辖区阿布贾。截至2021年3月8日,自2020年2月27日以来在拉各斯暴发的COVID-19已产生158,506例确诊病例,包括1,969例死亡。在大多数情况下,社区传播是病毒迅速传播的主要因素。幸运的是,尼日利亚的任何一所大学校园都没有报告COVID-19感染的病例。每当冠状病毒到达我们的大学校园时,我们都会评估尼日利亚宾厄姆大学持续传播的风险。风险评估是通过描述校园内人与人之间和使用的设施之间相互作用的数据来实现的。数据分析涉及11个统计模型的拟合组合,其中包括公式(12)所示的逻辑模型。参数估计显示了发病率的概率和决定系数在每个个体相互作用水平上的百分比。Zankli游客三次回归模型、Zankli员工三次回归模型和保安人员三次逆回归模型的决定系数最高,分别为82%、79%和74%。这强调了如果冠状病毒协议没有得到妥善维护,通过赞克利访客、赞克利工作人员和安保人员输入病例可能导致大学校园内爆发COVID-19的可能性。假设输入病例是大学社区指数的阈值,冠状病毒通过人与人之间和设施之间的相互作用传播。然而,我们发现,严格遵守冠状病毒预防指南,包括定期用肥皂和水洗手,用含酒精的免洗洗手液洗手,咳嗽或打喷嚏时保持至少1米的距离,通过避免不必要的旅行来保持身体距离,远离一大群人,不吸烟和其他损害肺部的活动,当你感到不舒服的时候就呆在家里,避免经常触摸你的脸是非药物预防措施的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling the Risk Assessment of COVID-19 Pandemic in Bingham University of Nigeria
COVID-19 virus has spread everywhere in Africa and to the 36 states of Nigeria, including the Federal Capital Territory (FCT), Abuja. The outbreak of COVID-19 in Lagos, since February 27, 2020 has generated 158,506 confirmed cases, including 1,969 deaths, as of 8 March 2021. In most cases, community transmission is the prime factor in which the viruses are fast spreading. Fortunately, there has never been a reported incidence of COVID-19 infection on any of the Nigerian university campuses. We assess the risk of sustained transmission at the Bingham University of Nigeria whenever the Coronavirus arrives on our university campus. Risk assessment is achieved through data describing the interaction amongst human-to-human and used facilities on the campus. The data analysis involves a fitted combination of 11 statistical models including inter alia logistic model presented by equation (12). Parameter estimation shows the probability of incidence rates and percentage for coefficient of determination at each level of individual interactions. The cubic regression model of Zankli visitors, Zankli Staff and the inverse regression model of Security Staff yield the highest coefficient of determination with the percentages of 82%, 79% and 74% respectively. This emphasizes the probability that an imported case through the Zankli visitors, Zankli Staff and Security Staff may cause COVID-19 outbreak on the University campus if the Coronavirus protocols are not properly maintained. Under the assumptions that the imported case is a threshold of an index number in the University community, and that the Coronavirus spread through human-to-human and facilities interaction. However, we found that strict compliance to Coronavirus prevention guidelines, which includes regular washing of hands with soap and water, cleaning of hands with alcohol-based hand rub, maintaining of at least 1 metre distance when coughing or sneezing, practicing of physical distancing by avoiding unnecessary travel, staying away from large groups of people, refrain from smoking and other activities that weaken the lungs, staying home whenever you feel unwell and avoid frequent touching of your face are tips for non-pharmaceutical preventive measures.
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