Parameter identifiability and optimal control of an SARS-CoV-2 model early in the pandemic-Reference-Cited by-同舟云学术

Parameter identifiability and optimal control of an SARS-CoV-2 model early in the pandemic

Published:2022-05-30 Issue:1 Volume:16 Page:412-438
ISSN:1751-3758
Container-title:Journal of Biological Dynamics
language:en
Short-container-title:Journal of Biological Dynamics

Author:

Tuncer Necibe¹^ORCID,Timsina Archana¹,Nuno Miriam²,Chowell Gerardo³,Martcheva Maia⁴

Affiliation:

1. Department of Mathematical Sciences, Florida Atlantic University, Boca Raton, FL, USA

2. Department of Biostatistics, University of California, Davis, CA, USA

3. Department of Population Health Sciences, Georgia State University, Atlanta, GA, USA

4. Department of Mathematics, University of Florida, Gainesville, FL, USA

Publisher

Informa UK Limited

Subject

General Medicine,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/17513758.2022.2078899

Reference41 articles.

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4. Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19) — United States, February 12–March 16, 2020

5. Assessing parameter identifiability in compartmental dynamic models using a computational approach: application to infectious disease transmission models

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