全国新型冠状病毒疫情分析及预测
Analysis and Forecast of Epidemic Situation in Novel Coronavirus
摘要:
本文对新型冠状病毒感染的确诊人数进行了数据可视化，然后采用非线性模型、logistic增长函数、SEIR模型三种模型对新型冠状病毒感染的确诊人数数据进行拟合和预测。通过研究表明，模型分析与疫情发展的真实情况基本相符，但仍需进一步改进。
Abstract:
In this paper, the number of confirmed cases of infection in novel coronavirus was visualized, and then the number of confirmed cases of infection in novel coronavirus was fitted and predicted by three models: nonlinear model, logistic growth function and SEIR model. The research shows that the model analysis is basically consistent with the real situation of epidemic development, but it still needs further improvement.
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