Nonlinear Growth Models with Lockdown Periods for Analyzing Cumulative and Daily COVID-19 Outbreak Data-Reference-Cited by-同舟云学术

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Nonlinear Growth Models with Lockdown Periods for Analyzing Cumulative and Daily COVID-19 Outbreak Data

Published:2023-11-23 Issue: Volume:10 Page:1-6
ISSN:
Container-title:2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS)
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Author:

Gounane Said¹,Bakkas Jamal²,Karami Fahd¹,Barkouch Yassir¹

Affiliation:

1. Cadi Ayyad University,MIMISC Laboratory, Graduate School of Technology,Essaouira,Morocco

2. Cadi Ayyad University,LAPSSII Laboratory, Graduate School of Technology,Safi,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424033/10424017/10424370.pdf?arnumber=10424370

Reference24 articles.

1. Notice sur la loi que la population suit dans son accroissement;Verhulst;Corr. Math.Physics

2. Bi-logistic growth

3. Mathematical Biology;Murray,2002

4. Modeling and Inverse Problems in the Presence of Uncertainty

5. Fitting dynamic models to epidemic outbreaks with quantified uncertainty: A primer for parameter uncertainty, identifiability, and forecasts

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalized logistic model with time-varying parameters to analyze COVID-19 outbreak data;AIMS Mathematics;2024

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