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

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


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 languageEnglish
Title of host publicationMathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases
Subtitle of host publicationLessons Learned From COVID-19
Number of pages30
ISBN (Electronic)9780323950640
ISBN (Print)9780323950657
StatePublished - 24 Mar 2023

Bibliographical note

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


  • COVID-19
  • Epidemic curve
  • Mathematical model
  • Mexico
  • Nonpharmaceutical interventions


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