An Application of Two Models for COVID-19 in Brazil

Authors

DOI:

https://doi.org/10.5540/tcam.2025.026.e01839

Keywords:

COVID-19, epidemiology, ordinary differential equations, mathematical modeling

Abstract

This work involves the study and development of epidemiological models described through systems of evolutionary and nonlinear ordinary differential equations. Additionally, it includes case studies related to the dynamics of COVID-19. The proposed original models examine the impact of contingency measures and vaccination strategies on the social dynamics of infectious diseases. Finally, a comparative discussion is presented, analyzing the results of the proposed models and their computational simulations against real data collected in Brazil.

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Published

2025-11-28

How to Cite

Marcolino, R. S., & Meyer, J. F. C. A. (2025). An Application of Two Models for COVID-19 in Brazil. Trends in Computational and Applied Mathematics, 26(1), e01839. https://doi.org/10.5540/tcam.2025.026.e01839

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Section

Original Article