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Health·P Space·Evidence-backed problem·Published 2026-09-21

Neural network analysis of the transmission dynamics of leptospirosis infection subject to vaccination and treatment interventions

Abstract: The rapid spread of infectious diseases can lead to substantial casualties worldwide, with the greatest impact on economically disadvantaged and resource-deficient nations. The widespread transmission of infection disrupts social life and economic activities, amplifying their impact beyond the public health system. In this paper, we analyze the dynamics of leptospirosis disease considering treatment for humans and vaccination for the animal population along with environmental bacteria control. We analyzed the qu…

TRV-2026-1159Peer-reviewedPermanent record — cite & verify
Neural network analysis of the transmission dynamics of leptospirosis infection subject to vaccination and treatment interventions

Equal-Graph-Partitioning-on-Estimated-Infection-Network-as-an-Effective-Epidemic-Mitigation-Measure-pone.0022124.s001 by Hadidjojo J, Cheong S. CC BY 2.5 · https://creativecommons.org/licenses/by/2.5

The quick read

The rapid spread of infectious diseases can lead to substantial casualties worldwide, with the greatest impact on economically disadvantaged and resource-deficient nations. The widespread transmission of infection disrupts social life and economic activities, amplifying their impact beyond the public health system.

The primary methodological contribution lies in the development of a hybrid deep neural network (DNN) framework that integrates Tanh and ReLU activation functions to accurately capture the complex dynamics of the model. A two-layer DNN is trained using the Levenberg-Marquardt algorithm with a 70%-15%-15% data split.

Main points
  • The rapid spread of infectious diseases can lead to substantial casualties worldwide, with the greatest impact on economically disadvantaged and resource-deficient nations.
  • The widespread transmission of infection disrupts social life and economic activities, amplifying their impact beyond the public health system.
  • In this paper, we analyze the dynamics of leptospirosis disease considering treatment for humans and vaccination for the animal population along with environmental bacteria control.
Problem

A two-layer DNN is trained using the Levenberg-Marquardt algorithm with a 70%-15%-15% data split.

The rundown

In this paper, we analyze the dynamics of leptospirosis disease considering treatment for humans and vaccination for the animal population along with environmental bacteria control. We analyzed the qualitative behavior of the model, focusing on the positivity and boundedness of the system.

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