A mathematical modeling proposal applied to the prevention of possible cholera outbreaks

Authors

DOI:

https://doi.org/10.14393/BEJOM-v1-n1-2020-50097

Keywords:

SIS models; Qualitative Analysis of Nonlinear Systems; Cholera; Basic Reproduction Number; Deterministic models.

Abstract

This article intends to present a mathematical modeling in order to characterize and determine possible prevention of cholera outbreaks, that is, to determine the causative factors of this disease and to search for results that show ways of controlling and irradiating them in Mathematics at the Faculty of Science and Technology of the University of Coimbra in partnership with the Pontal Institute of Exact and Natural Sciences, the main objective of this paper is to expose a deterministic mathematical model of cholera that was developed by Codeço (2001) and Fakai, Ibrahim and Danbaba (2013). Initially, a study was conducted on Susceptible - Infected - Susceptible (SIS) models in order to understand and delineate how to represent a mathematical model for possible prevention of cholera outbreaks. It is noteworthy that in this model among the results achieved, we highlight those related to the basic reproduction number (R0) and the critical number or threshold (Sc), which are used to predict and estimate the occurrence of the cholera outbreak. When R0 < 1, the disease-free steady state is asymptotically stable, that is, cases will shrink and disappear. If R0 > 1 the stability of the disease-free balance is unstable, that is, the cholera outbreak will occur in the community of interest. As for (Sc), if the number of susceptible people in the population is greater than the critical number (Sc), a cholera outbreak will occur.

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Author Biographies

  • Maria de Fátima da Silva Leite, Coimbra University

    Full Professor at the Department of Mathematics, University of Coimbra. Senior Researcher at the Institute for Systems and Robotics (UC). Has been responsible for several funded projects (national and international) in the area of Mathematical Control Theory. Has participated in several funded projects in the area of Robotics, Computer Vision and Deep Learning. Has acted as Member of the Technical Committee on Nonlinear Systems of the IFAC. Has acted as Member of the General Assembly of the EUCA. (Source: ORCID).

  • Bertrand Luiz Corrêa Lima, Federal University of Uberlândia

    Graduated in Mathematics by the Institute of Exact and Natural Sciences of Pontal (ICENP) of the Federal University of Uberlândia (UFU). He is currently a Master's student in Mathematics Education at the Federal University of Juiz de Fora (2020) and a member of the Group of Studies and Research in Mathematics Education (GREPEM). Ex-scholarship holder of the International Degree Program (PLI) in Portugal by the Coordination for the Improvement of Higher Education Personnel (CAPES) at the Faculty of Science and Technology of the University of Coimbra (FCTUC) (August / 2018 to August / 2019). Former scholarship holder of the Tutorial Education Program (PET) Pontal Mathematics (September / 2016 to July / 2018). Former Fellow of the Institutional Program for Teaching Initiation Scholarship (PIBID) / Subproject Mathematics. (June / 2015 to August / 2016). (Source: Lattes Curriculum).

References

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FAKAI, S. A.; IBRAHIM, M. O.; DANBABA, A. Deterministic Mathematical Model Of Cholera, Predicting Chances Of Its Outbreak. International Journal of Scientific Technology Research. Vol. 2. 2013. Disponível em: ≪http://www.ijstr.org/final-print/apr2013/Deterministic-Mathematical-Model-Of-Cholera-Predicting-Chances-Of-Its-Outbreak.pdf≫. Acesso em: 26/05/2019.

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MINISTÉRIO DA SAÚDE. Cólera: causas, sintomas, transmissão, tratamento ediagnóstico. Disponível em: ≪http://portalms.saude.gov.br/saude-de-a-z/colera≫ 2018. Acesso em: 01/05/2019.

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Published

2020-01-02

How to Cite

LEITE, Maria de Fátima da Silva; LIMA, Bertrand Luiz Corrêa. A mathematical modeling proposal applied to the prevention of possible cholera outbreaks. BRAZILIAN ELECTRONIC JOURNAL OF MATHEMATICS, Uberlândia, Minas Gerais, v. 1, n. 1, p. 105–117, 2020. DOI: 10.14393/BEJOM-v1-n1-2020-50097. Disponível em: https://seer.ufu.br/index.php/BEJOM/article/view/50097. Acesso em: 3 jun. 2025.

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