A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics-Reference-Cited by-同舟云学术

A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics

Published:2021-04 Issue: Volume:202 Page:105973
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Shoaib Muhammad,Raja Muhammad Asif Zahoor,Sabir Muhammad Touseef,Bukhari Ayaz Hussain,Alrabaiah Hussam^ORCID,Shah Zahir^ORCID,Kumam Poom,Islam Saeed

Funder

Thailand Science Research and Innovation

Center of Excellence in Theoretical and Computational Science, King Mongkut's University of Technology Thonburi

King Mongkut's University of Technology Thonburi

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference57 articles.

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3. Health Commission of Hubei Province. http://wjw.hubei.gov.cn/fbjd/dtyw/202002/t202002142027187.shtmll, accessed Feb 13, 2020.

4. Worldometers. Worldometers coronavirus, 2020.

5. Modelling the situation of COVID-19 and effects of different containment strategies in China with dynamic differential equations and parameters estimation;Liu,2020

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