Seddighi Hamed, Baharmand Hossein, Morovati Sharifabadi Ali, Salmani Ibrahim, Seddighi Saeideh
Campus Fryslân, University of Groningen, Leeuwarden, Friesland, the Netherlands.
Department of ICT, University of Agder, Norway.
Disaster Med Public Health Prep. 2021 Jul 13:1-4. doi: 10.1017/dmp.2021.226.
The purpose of this study is to investigate the efficiency of the Iranian Red Crescent Society (IRCS) in managing their nonmonetary resources involved in coronavirus disease 2019 (COVID-19) response.
For this purpose, the data envelopment analysis approach was used to measure the efficiency, considering the number of personnel and vehicles and screened passengers as the input and output parameters, respectively. It was examined the efficiency of 10 IRCS's branches given 17 d of screening operation. For the analysis, the DEA SolverPro software 15a version was used.
The results show that only 1 branch had been fully efficient in using the resources, while 5 branches showed less than 50% efficiency. This study reveals that it is unnecessary to use a fixed number of volunteers at different stations with different passenger numbers.
Using resources without efficient planning can lead to direct costs such as food, transportation, and maintenance, as well as indirect costs such as burnout, fatigue, and stress when responding to the COVID-19 pandemic. This analysis should support IRCS's managers to move their valuable resources from inefficient to efficient centers to increase the screening rate and reduce the fatigue of aid workers for the next pandemic rounds.
本研究旨在调查伊朗红新月会（IRCS）管理其参与2019冠状病毒病（COVID - 19）应对工作的非货币资源的效率。
为此，采用数据包络分析方法来衡量效率，分别将人员数量、车辆数量以及筛查的乘客数量作为输入和输出参数。对IRCS的10个分支机构在17天的筛查操作中的效率进行了考察。分析使用的是DEA SolverPro软件15a版本。
结果显示，只有1个分支机构在资源使用方面完全高效，而5个分支机构的效率低于50%。本研究表明，在乘客数量不同的不同站点使用固定数量的志愿者是没有必要的。
在应对COVID - 19大流行时，没有有效规划地使用资源会导致食品、运输和维护等直接成本，以及倦怠、疲劳和压力等间接成本。该分析应支持IRCS的管理人员将其宝贵资源从低效中心转移到高效中心，以提高筛查率，并减轻援助人员在下一轮大流行应对中的疲劳。
