A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile-Reference-Cited by-同舟云学术

A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile

Published:2023-09-14 Issue:1 Volume:17 Page:
ISSN:1751-3758
Container-title:Journal of Biological Dynamics
language:en
Short-container-title:Journal of Biological Dynamics

Author:

Bürger Raimund¹,Chowell Gerardo²,Kröker Ilja³,Lara-Díaz Leidy Yissedt⁴

Affiliation:

1. CIMA and Departamento de Ingeniería Matemática, Facultad de Ciencias Físicas y Matemáticas, Universidad de Concepción, Concepción, Chile

2. School of Public Health, Georgia State University, Atlanta, GA, USA

3. Stochastic Simulation & Safety Research for Hydrosystems (LS3), Institute for Modelling Hydraulic and Environmental Systems (IWS), Universität Stuttgart, Stuttgart, Germany

4. Departamento de Matemática, Física y Estadística, Facultad de Ciencias Básicas, Universidad Católica del Maule, Talca, Chile

Funder

Centro de Modelamiento Matemático

Centro de Recursos Hídricos para la Agricultura y la Minería

National Science Foundation

National Institutes of Health

German Research Foundation

DFG

Agencia Nacional de Investigación y Desarrollo

Publisher

Informa UK Limited

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://www.tandfonline.com/doi/pdf/10.1080/17513758.2023.2256774

Reference72 articles.

1. Mathematical Models for COVID-19 Pandemic: A Comparative Analysis

2. Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review

3. Infectious Diseases of Humans

4. Improving Pandemic Response: Employing Mathematical Modeling to Confront Coronavirus Disease 2019

5. Mathematical Models in Population Biology and Epidemiology