Generalizable multi-vaccine distribution strategy based on demographic and behavioral heterogeneity
Generalizable multi-vaccine distribution strategy based on demographic and behavioral heterogeneity
复制标题
基于人口和行为异质性的通用多疫苗分配策略
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Preetam Ghosh
中科院分区：
文献类型：
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作者：
Satyaki Roy;Pratyay Dutta;Preetam Ghosh
事实证明，疫苗在防止新冠肺炎患者出现严重后果方面非常有效。尽管疫苗开发迅速，但政策制定者仍在努力应对疫苗可获得性、成本和分配方面的全球挑战。随着新疫苗类型和加强剂的出现，有必要设计有效的疫苗分发策略，以击败新的病毒株。在这篇文章中，我们提出了可推广的多疫苗分配措施，根据不同地区的社会经济、流行病学和人口统计情况分配疫苗。提出的方法包含了无数的功能，从而可以基于所选标准的子集分配疫苗，最小化或固定分配的疫苗数量，并平衡成本和标准之间的权衡。通过仿真实验，我们证明了优化器能够捕捉区域间可变的疫苗采用率，并以减少传染性来奖励较低的疫苗犹豫。
Vaccines have proved to be highly effective in preventing severe outcomes in COVID-19 patients. Despite swift vaccine development, the policymakers are still struggling to meet the global challenges in the availability, cost and distribution of vaccines. With the emergence of new vaccine types and boosters to beat the newer strains of the virus, it is necessary to design effective vaccine distribution strategies. In this paper, we present generalizable, multi-vaccine distribution measures that allocate vaccines based on the socio-economic, epidemiological and demographic profiles of different zones. The proposed approach incorporates myriad features, whereby it can assign vaccines based on a subset of the chosen criteria, minimize or fix the number of assigned vaccines and balance the trade-off between cost and criteria. Through simulation experiments, we demonstrate the ability of the optimizer to capture the variable vaccine adoption rates among zones and reward lower vaccine hesitancy with reduced contagion.