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Data-driven modelling and prediction of COVID-19 infection in India and correlation analysis of the virus transmission with socio-economic factors

  • Published:2020-09 Issue:5 Volume:14 Page:1231-1240
  • ISSN:1871-4021
  • Container-title:Diabetes & Metabolic Syndrome: Clinical Research & Reviews
  • language:en
  • Short-container-title:Diabetes & Metabolic Syndrome: Clinical Research & Reviews

Author:

Kumar Amit,Rani PoonamORCID,Kumar Rahul,Sharma Vasudha,Purohit Soumya Ranjan

Publisher

Elsevier BV

Subject

General Medicine,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference16 articles.

1. Cardiovascular disease and COVID-19;Bansal;Diabetes Metab Syndr Clin Res Rev,2020

2. Prediction of the number of deaths in India due to SARS-CoV-2 at 6 weeks from day 0 (100 cases - March 14th 2020);Ghosal;Diabetes Metab Syndr Clin Res Rev,2020

3. Ministry of Health and Family Welfare;MoHFW,2020

4. Fractal kinetics of COVID-19 pandemic (with update 3/1/20);Ziff;medRxiv,2020

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1. A Review Study on Outbreak Prediction of Covid19 By using Machine Learning;International Journal of Inventive Engineering and Sciences;2024-06-30

2. Prediction of Covid-19 confirmed cases and deaths using hybrid support vector machine-Taguchi method;Computers & Industrial Engineering;2024-05

3. Impact of sustained lockdown during Covid-19 pandemic on behavioural dynamics through evolutionary game theoretic model;Annals of Operations Research;2023-12-11

4. Successful Role of Data Science In Managing Covid-19 Battle;2023 International Conference on Artificial Intelligence and Smart Communication (AISC);2023-01-27

5. Prediction of the number of COVID-19 confirmed cases using the hybrid FUCOM-Pareto analysis- random forest method;Pamukkale University Journal of Engineering Sciences;2023
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