Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 10, 2025European Journal of Pure and Applied MathematicsOpen Access

Stochastic Modelling of Seasonal Influenza Dynamics: Integrating Random Perturbations and Behavioural Factors

View Full Paper
Ask AI
Bookmark
Share

Authors

RSRania SaadehASAlshaikh A. ShokerallaNANaseam Al-Kuleab

Discussion

Loading...

Member takes

Overview

This model integrates random perturbations and behavioral factors, highlighting the role of transmission rates in seasonal influenza outbreaks.

Key Points

  • The stochastic model accurately reproduces the peak of influenza cases, providing insights into seasonal dynamics and outbreak periodicity.
  • Sensitivity analysis indicates that stochastic fluctuations significantly affect prediction uncertainty and outbreak variability in influenza cases.
  • Key determinants like transmission rates and recovery parameters drive the timing and impact of influenza hospitalization.
  • Understanding these dynamics can enhance public health interventions and resource allocation for influenza preparedness.

Cite This Study

Saadeh et al. (2025) studied this question.

synapsesocial.com/papers/68c1a77a54b1d3bfb60e0bdfhttps://doi.org/10.29020/nybg.ejpam.v18i3.6379
View Full Paper
Ask AI
Bookmark
Share