论文标题
从早期数据中预测中国共同-19流行病的累积病例数
Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data
论文作者
论文摘要
我们对中国的Covid-19冠状病毒流行进行了建模。我们使用早期报告的病例数据来预测报告病例的累积数量为最终大小。我们模型的关键特征是实施限制社会运动，未报告案件的认同和隔离的主要公共政策的时机以及无症状传染病的影响。
We model the COVID-19 coronavirus epidemic in China. We use early reported case data to predict the cumulative number of reported cases to a final size. The key features of our model are the timing of implementation of major public policies restricting social movement, the identification and isolation of unreported cases, and the impact of asymptomatic infectious cases.
