Globally, leptospirosis poses an increasing public health problem, as evidenced by
markedly increasing incidence rates and multiple outbreaks in all continents. Yet, the …

The aim of this work is to present the numerical simulations of the novel designed fractional
order Leptospirosis model (FOLM) by using the strength of stochastic numerical supervised …

This study indicates the design of swarming procedure based on the stochastic framework of
artificial neural networks (ANNs) along with the particle swarm optimization (PSO) and …

OBJECTIVE: To study the number of leptospirosis cases in relations to the seasonal pattern,
and its association with climate factors. METHODS: Time series analysis was used to study …

The purpose of this work is to present the numerical solutions of the nonlinear mathematical
Leptospirosis disease (LD) model using the computational performances of the artificial …

The epidemic of leptospirosis in humans occurs annually in Thailand. In this study, we have
developed mathematical models to investigate transmission dynamics between humans …

In both industrialized and develo** nations, leptospirosis is one of the most
underdiagnosed and under-reported diseases. It is known that people are more likely to …

Most vector-borne diseases exhibit a distinct seasonal pattern, which clearly suggests that
they are weather sensitive. Rainfall, temperature, and other climate variables affect in many …

In this paper, we use newly introduced piecewise classical-global and classical-fractional
operators to study the dynamics of the Leptospirosis disease model. The existence and …

Leptospirosis is considered the most globally widespread zoonotic illness; it has been
classified as an emerging or reemerging infectious disease by the World Health …