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Epidemiological characteristics of COVID-19: A descriptive study of publicly available case data based on SPSS 25.0

机译：Covid-19的流行病学特征：基于SPSS 25.0的公共案例数据的描述性研究

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摘要

In December, 2019, COVID-19 broke out in Wuhan and subsequently reached other provinces/regions of China and other countries. The number of confirmed cases in China has increased rapidly. The article aimed to further clarify the epidemiological characteristics of COVID-19. This research collected information on demographic characteristics, exposure history, onset time, confirmation time, symptoms and case type of confirmed cases from the official websites. It made descriptive statistics on these data and draw a trend chart through using SPSS 25.0, The result is that the COVID-19 infection was of clustering onset, the age range of confirmed cases is wide. Among the 1215 patients with confirmed NCP, The average age was 45.5 years and the highest frequency ranged from 40 to 49 years, with an effective share of 24.5% (298). 30.7% (372) of patients were epidemiology related. The time intervals from onset time to confirmation time is mainly 0-4 days, which was 50.6% (615). 72.3% (879) of case type were local cases. Different ages differed in the type of case. The imported cases and local cases of 0-19 years differed little, but the difference of 30-69 were large.
机译：2019年12月，Covid-19在武汉爆发了，随后达到了中国和其他国家的其他省/地区。中国确诊案件的数量迅速增加。本文旨在进一步阐明Covid-19的流行病学特征。该研究收集了关于人口统计学特征，暴露史，发病时间，确认时间，官方网站确认案件的信息。它对这些数据进行了描述性统计，并通过使用SPSS 25.0来绘制趋势图，结果是Covid-19感染是聚类发作的，确认病例的年龄范围宽。在1215名确诊NCP患者中，平均年龄为45.5岁，最高频率范围为40至49岁，有效份额为24.5％（298）。 30.7％（372）例患者是有关的流行病学。从发起时间到确认时间的时间间隔主要是0-4天，为50.6％（615）。 72.3％（879）的病例类型是本地病例。案例类型不同的年龄不同。进口病例和0-19岁的地方案件不同，但30-69的差异很大。

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