Analysis of an ongoing epidemic: Advantages and limitations of COVID-19 modeling

Mario Santana-Cibrian; Manuel A. Acuña-Zegarra; Mayra R. Tocto-Erazo; Ruth Corona-Moreno

doi:10.1016/B978-0-323-95064-0.00005-1

Analysis of an ongoing epidemic: Advantages and limitations of COVID-19 modeling

Mario Santana-Cibrian, Manuel A. Acuña-Zegarra, Mayra R. Tocto-Erazo, Ruth Corona-Moreno

Departamento de Matemáticas

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

COVID-19 caused many mathematical models to be formulated in order to address questions about the evolution of COVID-19 disease, in an attempt to diminish the effects of the disease on social health and the economy. This chapter explores how these questions have been changing since the beginning of the pandemic as well as the models used to answer them. Special emphasis is given to the limitations of the mathematical modeling that appeared with this ongoing disease, and whenever possible, strategies will be proposed to address these limitations. Mexico will be used as a case study.

Original language	English
Title of host publication	Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases
Subtitle of host publication	Lessons Learned From COVID-19
Publisher	Elsevier
Chapter	3
Pages	43-72
Number of pages	30
ISBN (Electronic)	9780323950640
ISBN (Print)	9780323950657
DOIs	https://doi.org/10.1016/B978-0-323-95064-0.00005-1
State	Published - 24 Mar 2023

Bibliographical note

Publisher Copyright:
© 2023 Elsevier B.V. All rights reserved.

Keywords

COVID-19
Epidemic curve
Mathematical model
Mexico
Nonpharmaceutical interventions

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10.1016/B978-0-323-95064-0.00005-1

Cite this

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Analysis of an ongoing epidemic: Advantages and limitations of COVID-19 modeling. / Santana-Cibrian, Mario; Acuña-Zegarra, Manuel A.; Tocto-Erazo, Mayra R. et al.
Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases: Lessons Learned From COVID-19. Elsevier, 2023. p. 43-72.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Analysis of an ongoing epidemic: Advantages and limitations of COVID-19 modeling

Abstract

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Keywords

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