Analysis of infections, recoveries and deaths from COVID-19 in rivers state, Nigeria

O. Adedire, Walter C. Jonh, Afolabi OLA OOLADEJO, G. Onuwa, Jacob JEPTHAH MBAH
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Abstract

Introduction: While some patients recovered, others died across the world thereby losing their loved ones. The objective of the current study is to determine statistical difference in means of COVID-19 infected population (laboratory confirmed), discharged cases(recovered) and deaths resulting from COVID-19 pandemic in Rivers State, Nigeria. Material and Methods: In this study, extraction of infected population (laboratory confirmed), discharged cases and deaths from COVID-19 was carried out from data obtained from Nigeria Centre for Disease Control which covered a period of 572 days (25th March 2020 - 17th  October  2021). The test for significance of means among the variables was done using one-way Analysis of Variance (ANOVA) followed by Tukey HSD test. The two variables whose means do not significantly differ were tested for strength of relationship and dependence using correlation analysis and cubic polynomial function respectively. Results: Results showed  that there is statistically significant difference between infected population, discharged cases and deaths from COVID-19 as obtained from one-way ANOVA (F(2, 1710) = 121.958, p = 0.000). Use of Tukey HSD test indicated that means of infected population and discharged cases do not differ from each other (p>0.01); however, mean deaths from COVID-19 significantly differ from others at 99%  confidence intervals (p<0.01). There was weak positive relationship between deaths due to COVID-19 and  other  two groups (r=0.360, n=571, p=0.000).  However, moderate positive correlation existed between COVID-19 infected population and discharged population (r=0. 566, n=571, p=0.000) at  99% confidence interval. Conclusions: Mean of deaths from the study population was significantly different from means from both infected population and discharged (recovered) cases. This implies that only few people died from COVID-19  in Rivers State Nigeria when compared to  those who got infected and recovered from COVID-19 pandemic.
尼日利亚河流州COVID-19感染、康复和死亡情况分析
导言:在一些患者康复的同时,世界各地也有一些患者死亡,从而失去了他们的亲人。本研究的目的是确定尼日利亚河流州COVID-19大流行导致的COVID-19感染人群(实验室确诊)、出院病例(康复)和死亡人数的统计差异。材料和方法:在本研究中,从尼日利亚疾病控制中心获得的572天(2020年3月25日至2021年10月17日)的数据中提取了感染人群(实验室确诊)、COVID-19出院病例和死亡病例。变量间均数显著性检验采用单因素方差分析(ANOVA),然后采用Tukey HSD检验。对均值无显著差异的两个变量分别用相关分析和三次多项式函数检验关系强度和依赖程度。结果:经单因素方差分析,感染人群、出院病例和死亡人数之间存在统计学差异(F(2,1710) = 121.958, p = 0.000)。Tukey HSD检验表明,感染人群与出院病例的均值差异无统计学意义(p>0.01);然而,COVID-19的平均死亡人数在99%的置信区间(p<0.01)与其他疾病有显著差异。新冠肺炎死亡人数与其他两组呈弱正相关(r=0.360, n=571, p=0.000)。COVID-19感染人群与出院人群存在中度正相关(r=0)。566, n=571, p=0.000), 99%置信区间。结论:研究人群的平均死亡人数与感染人群和出院(康复)病例的平均死亡人数有显著差异。这意味着,与感染并从COVID-19大流行中康复的人相比,尼日利亚河流州死于COVID-19的人很少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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