Balancing fairness and efficiency in dynamic vaccine allocation during major infectious disease outbreaks DOI Creative Commons
Zhaoli Dai,

Hongjie Lan,

Hai Nan

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 8, 2025

The outbreak of novel infectious diseases presents major public health challenges, highlighting the urgency accelerating vaccination efforts to reduce morbidity and mortality. Vaccine allocation has become a crucial societal concern. This paper introduces dynamic vaccine model that considers demand uncertainty willingness, focusing on trade-off between fairness efficiency. We develop multi-period model, evaluating optimal strategies over different periods. addresses structural differences among groups, strategy selection, demand, willingness. Our findings suggest prioritizing efficiency in initial stages may lead inequitable distribution, causing adverse social impacts, while overemphasizing can undermine overall utility. Therefore, we propose optimization-based balancing at pandemic stages. results indicate should shift from as evolves enhance Additionally, macro-level interventions like reducing free-rider behavior increasing convenience improve total study offers new perspectives methodologies for allocation, efficiency, providing insights policy formulation response.

Язык: Английский

Balancing fairness and efficiency in dynamic vaccine allocation during major infectious disease outbreaks DOI Creative Commons
Zhaoli Dai,

Hongjie Lan,

Hai Nan

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 8, 2025

The outbreak of novel infectious diseases presents major public health challenges, highlighting the urgency accelerating vaccination efforts to reduce morbidity and mortality. Vaccine allocation has become a crucial societal concern. This paper introduces dynamic vaccine model that considers demand uncertainty willingness, focusing on trade-off between fairness efficiency. We develop multi-period model, evaluating optimal strategies over different periods. addresses structural differences among groups, strategy selection, demand, willingness. Our findings suggest prioritizing efficiency in initial stages may lead inequitable distribution, causing adverse social impacts, while overemphasizing can undermine overall utility. Therefore, we propose optimization-based balancing at pandemic stages. results indicate should shift from as evolves enhance Additionally, macro-level interventions like reducing free-rider behavior increasing convenience improve total study offers new perspectives methodologies for allocation, efficiency, providing insights policy formulation response.

Язык: Английский

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