Evaluation healthcare system in facing COVID-19 with the help of data envelopment analysis
محورهای موضوعی : International Journal of Data Envelopment Analysis
1 - Department of Mathematics, Neyriz Branch, Islamic Azad University, Neyriz, Iran
کلید واژه: Technical Efficiency, DEA, health system, Covid-19,
چکیده مقاله :
The healthcare organization is a basic factor for any community, as it highly acts on the socioeconomic development of any country. Beginning of coronavirus disease 2019 (COVID-19) was initial reported in December 2019. Until now, many medicines and plans have been used in the cure of the illness. The COVID-19 became a pandemic around the world and has giant effect on our industrial and social systems, particularly on the healthcare system. Data envelopment analysis (DEA) is a powerful nonparametric engineering tool for estimating technical efficiency and production capacity of service units. Therefore, in this study, to examine a relationship between healthcare and bed suitable in the COVID-19 is evaluated using DEA. In the first step, the efficiency values are calculated based on determines the production capacity of hospitals through data envelopment analysis. In the second, incorporates the complexity of needs in two categories for the reallocation of beds throughout the medical specialties. The proposed approach can provide a direction for governments to expand strategies based on a powerful production capacity measure.
