论文标题
开发有效Covid-19的决策支持系统
Development of Decision Support System for Effective COVID-19 Management
论文作者
论文摘要
本文讨论了一个案件预测，资源分配和锁定管理的决策支持系统（DSS），以在政府权威的不同级别上管理Covid-19。 DSS中包含的算法基于数据驱动的建模方法，并且独立于该区域的物理参数，因此提出的DSS适用于任何领域。根据预测的有效案例，制定了低级单位的需求以及总可用性，分配和锁定决定。基于MATLAB的GUI是根据建议的DSS开发的，可以由地方当局实施。
This paper discusses a Decision Support System (DSS) for cases prediction, allocation of resources, and lockdown management for managing COVID-19 at different levels of a government authority. Algorithms incorporated in the DSS are based on a data-driven modeling approach and independent of physical parameters of the region, and hence the proposed DSS is applicable to any area. Based on predicted active cases, the demand of lower-level units and total availability, allocation, and lockdown decision is made. A MATLAB-based GUI is developed based on the proposed DSS and could be implemented by the local authority.
