A Primer on Mathematical Epidemiology

Authors

DOI:

https://doi.org/10.21167/cqdv27e27006

Keywords:

SIS model, SIR model, Toxoplasmosis, Qualitative analysis, Numerical experimentation

Abstract

This text presents three models widely used in epidemiology: the SIS model, the SIR model, and a model for the transmission of toxoplasmosis in cats. The aim is to provide an initiation into the field of mathematical epidemiology by illustrating three common approaches in differential equations: explicit solution, qualitative analysis, and numerical experimentation. The methodology adopted was bibliographic research, which allowed us to present: the explicit solution of the SIS model, identifying conditions for disease persistence or extinction; a qualitative analysis of the SIR model, revealing the typical behavior of epidemic outbreaks; and some numerical experiments for the toxoplasmosis model, highlighting the influence of different parameters on the transmission dynamics. Given the importance of the subject and the level of detail in the exposition, we believe that this text offers a useful reading for students entering the field of epidemiology and/or the analysis of differential equations.

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Author Biographies

  • Leonardo Maciel Mukdsse Misiara, Federal Rural University of Rio de Janeiro

    Possui graduação em Licenciatura em Matemática pela Universidade Federal Rural do Rio de Janeiro - UFRRJ (2025).

  • Pedro Roberto de Lima, Federal Rural University of Rio de Janeiro

    Doutor em Matemática pela UFRJ (2019), Mestre em Matemática Aplicada e Computacional pela UEL (2015) e Licenciado em Matemática pela UENP (2012). Atualmente é Professor do Departamento de Matemática da UFRRJ. Tem experiência na área de Matemática, com ênfase em análise de equações diferenciais.

Published

2026-06-09

Issue

Section

Artigos de Pesquisa

How to Cite

MISIARA, Leonardo Maciel Mukdsse; LIMA, Pedro Roberto de. A Primer on Mathematical Epidemiology. C.Q.D. - Revista Eletrônica Paulista de Matemática, Bauru, v. 27, p. e27006, 2026. DOI: 10.21167/cqdv27e27006. Disponível em: https://revistas.bauru.unesp.br/index.php/revistacqd/article/view/518. Acesso em: 20 jun. 2026.

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