Liu Kaihui, Lou Yijun
Institute of Applied System Analysis, Jiangsu University, Zhenjiang, Jiangsu, 212013, PR China.
Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.
Infect Dis Model. 2022 Mar;7(1):286-298. doi: 10.1016/j.idm.2022.02.002. Epub 2022 Feb 25.
During the ongoing COVID-19 pandemic, vaccine shortages occur due to various types of constraints, including interruptions in production/supply, higher-than-expected demands, and a lack of resources such as healthcare capacity to administer vaccines. Scientifically informed epidemic models have been utilized as pivotal tools to optimize the immunization programs subject to vaccine shortages. The current paper reviews modelling methods to optimize the allocation strategies of vaccines with differential efficacies by using various model-based outcome measures. The models reviewed in this study are expected to be adopted and extended to make contributions on policy development for disease control under the vaccine shortage scenario.
在当前的新冠疫情期间，由于各种限制因素，包括生产/供应中断、需求高于预期以及缺乏诸如医疗保健能力等资源来接种疫苗，导致了疫苗短缺。科学的疫情模型已被用作关键工具，以优化在疫苗短缺情况下的免疫计划。本文回顾了通过使用各种基于模型的结果指标来优化不同效力疫苗分配策略的建模方法。预计本研究中所回顾的模型将被采用和扩展，以在疫苗短缺情况下为疾病控制的政策制定做出贡献。
