论文标题
部分可观测时空混沌系统的无模型预测
Critical Medical Resource Allocation during COVID-19 Pandemic
论文作者
论文摘要
在本文中,提出了一个最佳资源分配框架,以分配大流行期间不同单位之间的关键医疗资源。该框架是通过考虑大流行,等级政府结构的动态以及不同单位之间单位资源要求的不均匀性而开发的。成本函数旨在最大程度地减少需求,实际分配和理想分配之间的差异,在该区域的理想分配基于预测的活动案例中,在所有区域的预测总活性案例的一部分中。根据可用信息,在不同的组织级别使用不同的成本功能。该模型还可以在此框架中适应一个地区的严重性。提出了针对印度不同状态的氧气分配样本案例研究。
In this paper, an optimal resource allocation framework is proposed for the allocation of critical medical resources among different units during a pandemic. The framework is developed by considering the dynamics of Pandemic, hierarchical government structure, and non-uniformity of unit resource requirement among different units. The cost function is designed to minimize the difference between the demand, actual allocation, and ideal allocation, where ideal allocation for a region is considered based on the predicted active cases in a fraction of predicted total active cases of all regions. Different cost functions are used at a different level of organization based on the available information. The model can also accommodate severity of disaster in a region in this framework. A sample allocation case study is presented for the allocation of oxygen for different states of India.