Mathematical modeling of Leptospirosis spread in Malaysia

2022;
: pp. 18–25
https://doi.org/10.23939/mmc2022.01.018
Received: July 07, 2021
Revised: December 11, 2021
Accepted: December 12, 2021

Mathematical Modeling and Computing, Vol. 9, No. 1, pp. 18–25 (2022)

1
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak
2
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak
3
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak
4
Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak

Leptospirosis is a zoonotic disease that is caused by the pathogen Leptospira, and it can spread indirectly or directly from infected animals to humans.  According to the official statistics from the Malaysian Ministry of Health, leptospirosis outbreaks appeared to be in the most critical condition in the recent few years.  The Susceptible--Infected--Recovered compartmental model and its extensions have been applied widely in disease modeling.  This paper aims to present a compartmental model for leptospirosis spread in Malaysia.  Using this approach, an epidemiological model is formulated for humans and vector populations.  Our results indicate that the transmission rate from susceptible to infected vectors and the vector birth rate play a significant role in determining the number of infected humans.  Besides, they have an impact on the duration of the outbreak as well.  The simulation results have been compared with the actual data in 2017 and the analysis shows that the proposed model is able to predict the outbreak recorded in Malaysia.

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