论文标题
俄亥俄州的Covid-19大学蔓延
College Spread of COVID-19 in Ohio
论文作者
论文摘要
收集了俄亥俄州县的累计COVID-19案例计数，并与人口普查局的人口数据和县的学生招生相结合，该县的入学率是在NCAA体育中竞争的大学或大学的综合学院综合教育数据系统（IPEDS）。计算了每月中位数的增加，平均百分比增加，并计算出没有大学的大学和没有大学的县之间每100,000次共同案件的平均案件。 Wilcoxon检验用于确定样品是否相似，分析发现差异具有统计学意义。将Metro和非金属分组添加到每100K的平均情况下，以进一步细分数据集。分析发现没有统计学上的显着差异。
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.
