Development and evaluation of the bootstrap resampling technique based statistical prediction model for Covid-19 real time data : A data driven approach-Reference-Cited by-同舟云学术

Development and evaluation of the bootstrap resampling technique based statistical prediction model for Covid-19 real time data : A data driven approach

Published:2022-02-02 Issue:3 Volume:25 Page:615-627
ISSN:0972-0502
Container-title:Journal of Interdisciplinary Mathematics
language:en
Short-container-title:Journal of Interdisciplinary Mathematics

Author:

Karthick K.¹,Aruna S. K.²,Manikandan R.³

Affiliation:

1. Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam 532127, Andhra Pradesh, India,

2. Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore 560029, Karnataka, India

3. Department of Electronics and Instrumentation Engineering, Panimalar Engineering College, Chennai 600123, Tamil Nadu, India

Publisher

Taru Publications

Subject

Applied Mathematics,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720502.2021.2012890

Reference23 articles.

1. A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics

2. The challenges of modeling and forecasting the spread of COVID-19

3. COVID-19 India, 2020 link: https://www.mohfw.gov.in/ retrieved on 20 April 2020, 08:00 GMT+5:30.

4. Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan

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