Selected article for: "regression model and time evaluation"
Author: Rajan Gupta; Saibal Kumar Pal; Gaurav Pandey
Title: A Comprehensive Analysis of COVID-19 Outbreak situation in India
  • Document date: 2020_4_11
    • ID: hquc2v2c_32
    Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.08.20058347 doi: medRxiv preprint 9 the model with degree 4. Thereafter, the prediction model of polynomial regression of degree 4 was built and used for the prediction values. For training set, data for 31 days was considered starting from 3-March-2020 to 3-April-2020. This was due to the fact that prior to 3 rd March, only 5 cases were reported in India within 40 days, whi.....
    Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.08.20058347 doi: medRxiv preprint 9 the model with degree 4. Thereafter, the prediction model of polynomial regression of degree 4 was built and used for the prediction values. For training set, data for 31 days was considered starting from 3-March-2020 to 3-April-2020. This was due to the fact that prior to 3 rd March, only 5 cases were reported in India within 40 days, which was impacting the prediction model. For evaluation, data from a short time period of 4-April-2020 to 7-April-2020 was used. Other combinations of training and test sets were also considered, but the predictions were similar. With these prediction values, it is estimated that the values for infected cases may rise near to 75,000 in India by end of current month, which may not be a really good situation in India.

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