利用机器学习算法和SEIR模型预测印度COVID-19第四波发病率

Satya Prakash, Pooja Pathak, A. S. Jalal
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引用次数: 1

摘要

世界见证COVID - 19大流行已经有一段时间了。在过去700天里,印度经历了三波新冠肺炎疫情。人们的好奇仍然在于第四次浪潮的发生和时间。目前的研究试图解决这个问题,并预测未来印度的COVID-19每日发病率。已经尝试了机器学习(LSTM、KNN、SVR、随机森林和多元线性回归)和数学模型(SEIR)的最先进方法来训练和预测印度的每日新病例。对未来200天的进一步预测已经使用训练好的模型进行了尝试。根据大多数模型的预测,很明显,印度在未来200天内不会出现第四波。
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Predicting COVID-19 Fourth Wave Incidence in India Using Machine Learning Algorithms and SEIR Model
The world is witnessing COVID - 19 Pandemic for quite some time now. India has seen three waves of COVID-19 in the last 700 days. The curiosity still lies in the occurrence and timing of the fourth wave. The current study tries to solve this and predicts the COVID-19 daily incidence in India in the future. State-of-the-art methodologies both from Machine learning (LSTM, KNN, SVR, Random Forest, and Multi Linear Regressor) and Mathematical models (SEIR) have been tried out to train and predict the Daily New Cases of COVID19 in India. Further prediction for the next 200 days has been tried out using the trained models. As per the forecast from most of the models, it is evident that no fourth wave is going to be witnessed in India in the next 200 days.
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