Department of Industrial Engineering, Faculty of Engineering, Osmaniye Korkut Ata University, Osmaniye, Turkey.
Hertfordshire Business School, University of Hertfordshire, Hatfield, UK.
Int J Health Plann Manage. 2021 Sep;36(5):1476-1485. doi: 10.1002/hpm.3187. Epub 2021 May 2.
The novel coronavirus is rapidly spreading over the world and puts the health systems of countries under intense pressure. High hospitalization levels due to the pandemic outbreak have caused the intensive care units to work above capacity.
A data envelopment analysis (DEA) based modelling approach was developed to evaluate the effectiveness of regions (i.e. city, country or clinical commissioning groups) against the pandemic outbreak. The objective is to enable related authorities better manage the struggle against the outbreak and put in place the emergency action plans immediately.
METHODOLOGY/APPROACH: DEA method was used to measure the efficiency scores of countries. Super efficiency DEA method was also applied to countries based on the level of efficiencies they have achieved. Sixteen countries were selected that have been facing with Covid19 pandemic outbreak for at least 5 consecutive weeks after their 100th confirmed case.
A total of 80 DEA models were developed, that is, 16 DEA models for each week. The percentage of efficient countries decreased dramatically over time, from 43.75% in the first week to 25% in the fifth week. Unlike most European countries, China and South Korea increased their effectiveness after first week of implementing all the necessary measures.
This study sheds light into better understanding the effectiveness of policies adopted by countries and their management strategy in dealing with Covid19 pandemic. Our model will enable political leaders to identify inadequate policies as quickly as possible and learn from their peers for more effective decisions.
新型冠状病毒在全球迅速传播，使各国的卫生系统承受巨大压力。由于疫情爆发导致住院水平居高不下，重症监护病房的工作已超负荷运转。
开发了一种基于数据包络分析（DEA）的建模方法，以评估各地区（即城市、国家或临床委托组）对疫情爆发的应对效果。其目的是使相关当局能够更好地管理与疫情的斗争，并立即制定应急行动计划。
方法/方法：DEA 方法用于衡量国家的效率得分。还根据各国已实现的效率水平，对各国应用超效率 DEA 方法。选择了 16 个至少连续 5 周面临 COVID-19 疫情爆发的国家。
共开发了 80 个 DEA 模型，即每周 16 个模型。有效国家的比例随着时间的推移急剧下降，从第一周的 43.75%下降到第五周的 25%。与大多数欧洲国家不同，中国和韩国在实施所有必要措施的第一周后提高了效率。
本研究有助于更好地了解各国所采取政策的有效性及其在应对 COVID-19 疫情方面的管理策略。我们的模型将使政治领导人能够尽快发现政策的不足，并从同行中学习，以便做出更有效的决策。
