Optimal strategies for fair vaccine allocation: integrating non-pharmaceutical interventions, regional quarantine, and social challenges in epidemic control.

It is essential to control epidemic diseases and adopt an optimal strategy when an epidemic occurs. In this research, a myopic model is presented. In this regard, an epidemic model is presented considering social challenges such as vaccine acceptance, quarantine of infected individuals, and regional quarantine. The vaccine allocation model was constructed to incorporate specific outputs from the epidemiological model, including (i) the weight of each cluster within each region, (ii) the vaccine demand of each cluster in each region, (iii) the relative infectiousness of region g, and (iv) the relative susceptibility of region g. By integrating these parameters, the allocation model determines equitable distribution strategies that aim to reduce the effective reproduction number. The model is run based on the data provided in similar articles, and its results are analyzed. By incorporating economic factors, like the costs of interventions, along with social factors such as individuals' willingness to get vaccinated, this model allows for an exploration of various aspects related to the fair allocation of vaccines. The rationality of the model's outcomes, supported by expert validation and reinforced through sensitivity analysis, underscores its accuracy and reliability.