Lampariello Lorenzo, Sagratella Simone
Department of Business Studies, Roma Tre University, Rome, Italy.
Department of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, Rome, Italy.
Oper Res Health Care. 2021 Mar;28:100287. doi: 10.1016/j.orhc.2021.100287. Epub 2021 Feb 17.
Urged by the outbreak of the COVID-19 in Italy, this study aims at helping to tackle the spread of the disease by resorting to operations research techniques. In particular, we propose a mathematical program to model the problem of establishing how many diagnostic tests the Italian regions must perform in order to maximize the overall disease detection capability. An important feature of our approach is its simplicity: data we resort to are easy to obtain and one can employ standard optimization tools to address the problem. The results we obtain when applying our method to the Italian case seem promising.
受意大利新冠肺炎疫情爆发的推动，本研究旨在借助运筹学技术来帮助应对该疾病的传播。具体而言，我们提出一个数学规划模型，以确定意大利各地区必须进行多少诊断测试，才能使整体疾病检测能力最大化。我们方法的一个重要特点是其简单性：我们所使用的数据易于获取，并且可以使用标准的优化工具来解决该问题。当我们将方法应用于意大利的情况时，所获得的结果似乎很有前景。
