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Age Group-Based Mean Differences in Recovery Speed from COVID-19 Infection Mpumalanga Province

机译:基于年龄组的恢复速度从Covid-19感染Mpumalanga省的平均差异

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The aim of this analysis was to examine mean differences in the speed of recovery (days) from COVID-19 infection by case-patients among age groups in Mpumalanga province. A sample of 5723 case-patients distributed among ten distinct age groups, beginning from 0-9 years. Using the date at which the result confirming positivity for each case was received and the date at which discharge occurred, the DATEDIF() function in Microsoft Excel was used to calculate the speed of recovery, measured by number of days. Time from infection to recovery was therefore measured as the number of days from first positive to first negative SARSCoV-2 PCR test result. Data was processed in both Excel and Statistical Package for Social Sciences (SPSS) prior to conducting statistical data analysis. The mean differences in the speed of recovery among age groups were analysed using the mean comparison Analysis of Variance (ANOVA) method. Age groups 0-9 years and 40-49 years had the longest average recovery speed of 17.32 ±8.84 days and 17.22 ±7.88 days; respectively, while the age group 70-79 years had the fastest average recovery speed of 15.43 ±4.51 days. ANOVA results show no statistical evidence that the mean recovery speed (days) from differed significantly among age groups (F (8, 5714 ) statistic (= 0.932; p 0.05) at 5% significance level.
机译:该分析的目的是通过普马兰康省年龄群体患者从Covid-19感染的恢复速度(天)的速度差异差异。 5723例患者的样本分布在10个不同年龄组中,从0-9岁开始。使用所接收到每个案例的结果的日期以及发生放电的日期,Microsoft Excel中的DateIf()函数用于计算恢复的速度,按天数测量。因此,从感染到恢复的时间被测量为从第一次阳性至第一个阴性SARSCOV-2 PCR测试结果的天数。在进行统计数据分析之前,在Excel和Excel和统计包装中处理数据,用于社会科学(SPSS)。使用差异(ANOVA)方法的平均比较分析来分析年龄组之间复苏速度的平均差异。年龄组0-9岁,40-49岁的平均恢复速度最长为17.32±8.84天和17.22±7.88天;分别为年龄组70-79岁,平均恢复速度最快为15.43±4.51天。 ANOVA结果没有显示统计证据表明年龄组(F(8,5714)统计学(F(8,5714)统计学(= 0.932; p> 0.05)不同的平均恢复速度(天)。

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