Cumulative COVID-19 case counts by county in Ohio were gathered and combined with population data from the Census Bureau and student enrollment by county from the Integrated Postsecondary Education Data System (IPEDS) for colleges or universities that compete in NCAA sports. Monthly median percent increases, monthly average percent increases, and average cases per 100k of COVID cases between counties with colleges and counties without colleges were calculated. The Wilcoxon test was used to determine if the samples were similar, and the analysis found the differences were statistically significant. Metro and non-metro groupings were added to the average cases per 100k to further subdivide the data set. Analysis found no statistically significant differences.
翻译:收集了俄亥俄州按县分列的COVID-19累计病例数,并结合了人口普查局的人口数据,以及州一级综合中学后教育数据系统(IPEDS)为参加国家体育协会体育比赛的学院或大学提供的学生入学情况,计算出有学院的县和没有学院的县之间每月平均COVID病例中位数增加、每月平均增加率和平均每100公里的病例中位数。使用Wilcoxon测试来确定样本是否相似,分析发现差异在统计上很重要。在每100公里的平均病例中增加了地铁和非地铁组,以进一步细分数据集。