School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Business Systems and Analytics Department, Distinguished Chair of Business Analytics, La Salle University, Philadelphia, PA 19141, United States; Business Information Systems Department, Faculty of Business Administration and Economics, University of Paderborn, D-33098 Paderborn, Germany.
Vaccine. 2021 Jan 15;39(3):495-504. doi: 10.1016/j.vaccine.2020.12.022. Epub 2020 Dec 9.
The addition of other respiratory illnesses such as flu could cripple the healthcare system during the coronavirus disease 2019 (COVID-19) pandemic. An annual seasonal influenza vaccine is the best way to help protect against flu. Fears of coronavirus have intensified the shortage of influenza shots in developing countries that hope to vaccinate many populations to reduce stress on their health services. We present an inventory-location mixed-integer linear programming model for equitable influenza vaccine distribution in developing countries during the pandemic. The proposed model utilizes an equitable objective function to distribute vaccines to critical healthcare providers and first responders, elderly, pregnant women, and those with underlying health conditions. We present a case study in a developing country to exhibit efficacy and demonstrate the optimization model's applicability.
在 2019 冠状病毒病（COVID-19）大流行期间，其他呼吸道疾病（如流感）的出现可能会使医疗保健系统瘫痪。每年接种季节性流感疫苗是预防流感的最佳方法。对冠状病毒的恐惧加剧了发展中国家流感疫苗短缺的情况，这些国家希望为许多人群接种疫苗，以减轻其卫生服务的压力。我们提出了一种在大流行期间为发展中国家公平分配流感疫苗的库存-选址混合整数线性规划模型。所提出的模型利用公平目标函数将疫苗分配给关键的医疗保健提供者和急救人员、老年人、孕妇以及有潜在健康问题的人群。我们在一个发展中国家进行了案例研究，以展示其功效并证明优化模型的适用性。
