Forecasting and comparative analysis of Covid-19 cases in India and US
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy,General Materials Science
Link
https://link.springer.com/content/pdf/10.1140/epjs/s11734-022-00536-3.pdf
Reference17 articles.
1. S.K. Kar, R. Ransing, S.Y. Arafat, V. Menon, Second wave of COVID-19 pandemic in India: barriers to effective governmental response. EClin. Med. 36, (2021)
2. I. Ciufolini, A. Paolozzi, Mathematical prediction of the time evolution of the COVID-19 pandemic in Italy by a Gauss error function and Monte Carlo simulations. Eur. Phys. J. Plus 135(4), 1–8 (2020)
3. A. Ianni, N. Rossi, Describing the COVID-19 outbreak during the lockdown: fitting modified SIR models to data. Eur. Phys. J. Plus 135(11), 1–10 (2020)
4. A. Sinha, M. Rathi, COVID-19 prediction using AI analytics for South Korea. Appl. Intell. 1–19 (2021)
5. L.K. Shrivastav, S.K. Jha, A gradient boosting machine learning approach in modeling the impact of temperature and humidity on the transmission rate of COVID-19 in India. Appl. Intell. 51(5), 2727–2739 (2021)
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