论文标题
新型冠状病毒的流行病学研究（COVID-19）
Epidemiological study of novel coronavirus (COVID-19)
论文作者
论文摘要
我们报告了新型冠状病毒对一些高度感染国家的统计分析（Covid-19）。累积感染的数据配备了各种增长模型（例如逻辑方程，Weibull方程和山坡方程），并获得了前十大受感染国家的功率指数。新感染的数据拟合了高斯分布，对于感染曲线似乎已饱和的国家，峰值约为40天。不同国家感染者的增长动力学相似性提供了第一手指南，以采取适当的预防措施以最大程度地减少人类损害。
We report a statistical analysis of some highly infected countries by the novel coronavirus (COVID-19). The cumulative infected data were fitted with various growth models (e.g. Logistic equation, Weibull equation and Hill equation) and obtained the power index of top ten highly infected countries. The newly infected data were fitted with Gaussian distribution with the peak at ~40 days for the countries whose infection curves are seem to be saturated. The similarity in growth kinetics of infected people of different countries provides first-hand guidelines to take proper precautions to minimize human damage.
