Predicting COVID-19 outbreak in India using modified SIRD model-Reference-Cited by-同舟云学术

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Predicting COVID-19 outbreak in India using modified SIRD model

Published:2024-02-02 Issue:1 Volume:32 Page:
ISSN:2769-0911
Container-title:Applied Mathematics in Science and Engineering
language:en
Short-container-title:Applied Mathematics in Science and Engineering

Author:

Shringi Sakshi¹,Sharma Harish²,Narayan Rathie Pushpa³,Chand Bansal Jagdish⁴,Nagar Atulya⁵,Lal Suthar Daya⁶

Affiliation:

1. Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

2. Department of Computer Science and Engineering, Rajasthan Technical University, Kota, Rajasthan, India

3. Department of Statistics, University of Brasilia, Brasilia, Brazil

4. Department of Mathematics, South Asian University, New Delhi, India

5. School of Mathematics, Computer Science and Engineering, Liverpool Hope University, UK

6. Department of Mathematics, Wollo University, Dessie, Ethiopia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/27690911.2024.2305191

Reference40 articles.

1. World Health Organization. Coronavirus overview. Available from: https://www.who.int/health-topics/coronavirus

2. Brauer F. Compartmental models in epidemiology. In: Fred Brauer editor. Mathematical epidemiology. Vancouver (BC): Department of Mathematics University of British Columbia; 2008. p. 19–79.

3. A contribution to the mathematical theory of epidemics

4. Dynamical behavior of SIRS model incorporating government action and public response in presence of deterministic and fluctuating environments

5. An application of the theory of probabilities to the study of a priori pathometry.—Part I

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1. Evolutionary optimization of policy responses to COVID-19 pandemic via surrogate models;Applied Soft Computing;2024-03

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