Forecasting and comparative analysis of Covid-19 cases in India and US

被引:8
作者
Biswas, Santanu [1 ,2 ]
机构
[1] Jadavpur Univ, Dept Math, Raja Subodh Chandra Mallick Rd, Kolkata 700032, India
[2] Adamas Univ, Dept Math, Barasat Barrackpore Rd, Kolkata 700126, W Bengal, India
关键词
D O I
10.1140/epjs/s11734-022-00536-3
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The devastating waves of covid-19 have wreaked havoc on the world, particularly India and US. The article aims to predict the real-time forecasts of covid-19 confirm cases for India and US. To serve the purpose, ARIMA and NNAR based models have been used to the daily new covid-19 confirm cases. The proposed hybrid models are: (i) ARIMA-NNAR model, (ii) NNAR-ARIMA model, (iii) ARIMA-Wavelet ARIMA model, (iv) ARIMA-Wavelet ANN model, (v) NNAR-Wavelet ANN model, and (vi) NNAR-Wavelet ARIMA model. The models are performed to predict the next 45 days of daily new cases. These forecasts can help Govt. to predict the behavior of covid -19 and aware people about the upcoming third wave of covid-19. Our results suggest that hybrid models perform better than single models. We have also proved that our wavelet-based hybrid models can outdated the performance of previously defined hybrid models in terms of accuracy assessments (MAE and RMSE). We have also estimated the time-dependent reproduction number for India and US to observe the present situation.
引用
收藏
页码:3537 / 3544
页数:8
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