Prognostication of zooplankton-driven cholera pathoepidemiological Dynamics: Novel Bayesian-regularized deep NARX neuroarchitecture.

Journal: Computers in biology and medicine
Published Date: Apr 22, 2025

Abstract

BACKGROUND: Cholera outbreaks pose significant health concerns, particularly through freshwater contamination through zooplankton serving as reservoirs for Vibrio Cholerae. Understanding these complex interactions within the aquatic ecosystem through mathematical modeling regimes may help us predict and prevent the spread of Cholera disease spread in affected regions.

Authors

  • Muhammad Junaid Ali Asif Raja
    Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Douliu, Yunlin, 64002, Taiwan.
  • Adil Sultan
    Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin, 64002, Taiwan, ROC. Electronic address: M11217078@yuntech.edu.tw.
  • Chuan-Yu Chang
    Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan.
  • Chi-Min Shu
    Department of Safety, Health and Environmental Engineering, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin, 64002, Taiwan, ROC. Electronic address: shucm@yuntech.edu.tw.
  • Adiqa Kausar Kiani
    Future Technology Research Center, College of Future, National Yunlin University of Science and Technology, Douliou, Taiwan.
  • Muhammad Shoaib
    College of Computer and Information Science, King Saud University, Riyadh, Saudi Arabia.
  • Muhammad Asif Zahoor Raja
    Future Technology Research Center, National Yunlin University of Science and Technology, Yunlin, Taiwan, R.O.C.

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