论文标题
基于模型的爵士冠冕冠状病毒人群的冠状病毒预测
SIR Model-based Prediction of Infected Population of Coronavirus in Hubei Province
论文作者
论文摘要
在武汉冠状病毒突然爆发后，该流行病的持续和丰富数据已公开，成为控制措施中决策支持以及积极实施遏制策略和计划的重要事实。随着病毒的进一步增长和扩散，在更新的策略和措施下的未来资源分配和计划取决于对流行病数据和特征的仔细研究，以进行准确的预测和估计。通过使用SIR模型和报告的数据，从最小平方误差获得关键参数，以准确预测过去四周的流行趋势。
After the sudden outbreak of Coronavirus in Wuhan, continuous and rich data of the epidemic has been made public as the vital fact for decision support in control measures and aggressive implementation of containment strategies and plans. With the further growth and spreading of the virus, future resource allocation and planning under updated strategies and measures rely on careful study of the epidemic data and characteristics for accurate prediction and estimation. By using the SIR model and reported data, key parameters are obtained from least sum of squared errors for an accurate prediction of epidemic trend in the last four weeks.
