Epidemiological Viability and Control of Rotavirus: A Mathematical Modelling Approach
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Abstract
To effectively address rotavirus infections, interventions must be tailored to specific socio-economic contexts and target populations. This study presents a mathematical model to describe the dynamics of rotavirus, emphasizing the importance of a comprehensive approach to combating the infection. Sensitivity analysis reveals the influence of each variable on disease spread and assesses the model's robustness across different parameter values. The model's epidemiological viability is demonstrated by its equilibrium in endemic conditions, stability in disease-free scenarios, non-negativity, and boundedness. Optimal control measures significantly impact virus transmission, with simulations showing that combining diverse strategies effectively reduces the spread of rotavirus. These findings highlight the importance of balanced and adaptable control measures, leading to enhanced immunity, reduced infection rates, and better health outcomes for affected communities.
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