Efficiency Evaluation of European Countries in terms of COVID-19
Year 2021,
Volume: 33 Issue: 3, 366 - 375, 01.09.2021
Gökçen Bayram
,
Özlem Yurtsever
Abstract
The COVID-19 Pandemic has effected millions of people all over the world. Therefore the behaviour of countries are important to minimise the losses. In this paper the performance of 27 European countries on spread and deaths caused by COVID-19 pandemics is evaluated and compared by using input-oriented data envelopment analysis (DEA) method. The DEA model is performed in two stages. In the first stage, the contagion control efficiency is analysed whereas in the second stage the medical treatment efficiency is evaluated. Moreover, the countries are classified into the four zone by using the area chart. For the countries in each zones, some recommendations are given.
References
- LePan, N., (2020). Visualizing the History of Pandemics. Visual Capitalist. https://www.visualcapitalist.com/history-of-pandemics-deadliest. (accessed Jul. 05, 2020).
- WHO. (2020). Coronavirus disease (COVID-19). https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (accessed Jun. 18, 2020).
- Jouzdani, J., & Shirouyehzad, H. (2020). Fight against COVID-19: What can be done in the case of Iran? Journal of Applied Research on Industrial Engineering, 7(1), 1–12. https://doi.org/10.22105/jarie.2020.223981.1145
- Berman, J. D., & Ebisu, K. (2020). Changes in U.S. air pollution during the COVID-19 pandemic. Science of The Total Environment, 739, 139864. https://doi.org/10.1016/j.scitotenv.2020.139864
- Adekunle, I. A., Onanuga, A. T., Akinola, O. O., & Ogunbanjo, O. W. (2020). Modelling spatial variations of coronavirus disease (COVID-19) in Africa. Science of The Total Environment, 729, 138998. https://doi.org/10.1016/j.scitotenv.2020.138998
- Wu, Y., Jing, W., Liu, J., Ma, Q., Yuan, J., Wang, Y., Du, M., & Liu, M. (2020). Effects of temperature and humidity on the daily new cases and new deaths of COVID-19 in 166 countries. Science of The Total Environment, 729, 139051. https://doi.org/10.1016/j.scitotenv.2020.139051
- Thu, T. P. B., Ngoc, P. N. H., Hai, N. M., & Tuan, L. A. (2020). Effect of the social distancing measures on the spread of COVID-19 in 10 highly infected countries. Science of The Total Environment, 742, 140430. https://doi.org/10.1016/j.scitotenv.2020.140430
- Oksanen, A., Kaakinen, M., Latikka, R., Savolainen, I., Savela, N., & Koivula, A. (2020). Regulation and Trust: 3-Month Follow-up Study on COVID-19 Mortality in 25 European Countries. JMIR Public Health and Surveillance, 6(2), e19218. https://doi.org/10.2196/19218
- Singh, R. K., Rani, M., Bhagavathula, A. S., Sah, R., Rodriguez-Morales, A. J., Kalita, H., Nanda, C., Sharma, S., Sharma, Y. D., Rabaan, A. A., Rahmani, J., & Kumar, P. (2020). Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model. JMIR Public Health and Surveillance, 6(2), e19115. https://doi.org/10.2196/19115
- Ghasemi, A., Boroumand, Y., & Shirazi, M. (2020). How do governments perform in facing COVID-19? Munich Personal RePEc Archive, Apr. 15, 2020, Accessed: Jul. 05, 2020. [Online]. Available: https://mpra.ub.uni-muenchen.de/99844/.
- Shirouyehzad, H., Jouzdani, J., & Khodadadi Karimvand, M. (2020). Fight against COVID-19: A global efficiency evaluation based on contagion control and medical treatment. Journal of Applied Research on Industrial Engineering, 7(2), 109–120. https://doi.org/10.22105/jarie.2020.225087.1146
- Shirouyehzad, H., Jouzdani, J., & Khodadadi-Karimvand, M. (2020). An Analysis of the COVID-19 Contagion Growth in European Countries. Iranian Journal of Optimization, 12(1), 11–19.
- Cameron, E. E., Nuzzo, J. B., & Bell, J. A. (2019). Global health security index: Building collective action and accountability. Nuclear Threat Initiative and Johns Hopkins Bloomberg School of Public Health.
- Popescu, C., Asandului, L., & Fatulescu, P. (2014). A Data Envelopment Analysis for Evaluating Romania’s Health System. Procedia - Social and Behavioral Sciences, 109, 1185–1189. https://doi.org/10.1016/j.sbspro.2013.12.609
- Stefko, R., Gavurova, B., & Kocisova, K. (2018). Healthcare efficiency assessment using DEA analysis in the Slovak Republic. Health Economics Review, 8(1), 1–12.
- Ozcan, Y. A. (2008). Health Care Benchmarking and Performance Evaluation: An Assessment using Data Envelopment Analysis (DEA). Springer US. https://doi.org/10.1007/978-0-387-75448-2
- Kaya Samut, P., & Cafrı, R. (2016). Analysis of the Efficiency Determinants of Health Systems in OECD Countries by DEA and Panel Tobit. Social Indicators Research, 129(1), 113–132. https://doi.org/10.1007/s11205-015-1094-3
- Kohl, S., Schoenfelder, J., Fügener, A., & Brunner, J. O. (2019). The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals. Health Care Management Science, 22(2), 245–286. https://doi.org/10.1007/s10729-018-9436-8
- Azadi, M., & Farzipoor Saen, R. (2013). A combination of QFD and imprecise DEA with enhanced Russell graph measure: A case study in healthcare. Socio-Economic Planning Sciences, 47(4), 281–291. https://doi.org/10.1016/j.seps.2013.05.001
- Tlotlego, N., Nonvignon, J., Sambo, L. G., Asbu, E. Z., & Kirigia, J. M. (2010). Assessment of productivity of hospitals in Botswana: A DEA application. International Archives of Medicine, 3, 27. https://doi.org/10.1186/1755-7682-3-27
- Morita, H., & Avkiran, N. K. (2009). Selecting inputs and outputs in data envelopment analysis by designing statistical experiments. Journal of the Operations Research Society of Japan, 52(2), 163–173. https://doi.org/10.15807/jorsj.52.163
- Huguenin, J.-M. (2012). Data envelopment analysis (DEA): A pedagogical guide for decision makers in the public sector. IDHEAP.
- Ray, S. C. (2004). Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research (1st ed.). Cambridge University Press. https://doi.org/10.1017/CBO9780511606731
- Boussofiane, A., Dyson, R. G., & Thanassoulis, E. (1991). Applied data envelopment analysis. European Journal of Operational Research, 52(1), 1–15. https://doi.org/10.1016/0377-2217(91)90331-O
Avrupa Ülkelerinin COVID-19 Açısından Verimliliklerinin Değerlendirmesi
Year 2021,
Volume: 33 Issue: 3, 366 - 375, 01.09.2021
Gökçen Bayram
,
Özlem Yurtsever
Abstract
COVID-19 pandemisi tüm dünyada milyonlarca insanı etkilemektedir. Bu nedenle, ülkelerin davranışları, kayıpları en aza indirmek için önemlidir. Bu araştırmada 27 Avrupa ülkesinin COVID-19 salgının neden olduğu yayılma ve ölümler üzerindeki performansı, girdi odaklı veri zarflama analizi (VZA) yöntemi kullanılarak değerlendirilmiş ve karşılaştırılmıştır. DEA modeli iki aşamada gerçekleştirilmiştir. İlk aşamada, bulaşma kontrolünün etkinliği analiz edilirken, ikinci aşamada tıbbi tedavi etkinliği değerlendirilmiştir. Ayrıca, ülkeler alan grafiği kullanılarak dört bölge de sınıflandırılmıştır. Her bölgedeki ülkeler için bazı öneriler verilmiştir.
References
- LePan, N., (2020). Visualizing the History of Pandemics. Visual Capitalist. https://www.visualcapitalist.com/history-of-pandemics-deadliest. (accessed Jul. 05, 2020).
- WHO. (2020). Coronavirus disease (COVID-19). https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (accessed Jun. 18, 2020).
- Jouzdani, J., & Shirouyehzad, H. (2020). Fight against COVID-19: What can be done in the case of Iran? Journal of Applied Research on Industrial Engineering, 7(1), 1–12. https://doi.org/10.22105/jarie.2020.223981.1145
- Berman, J. D., & Ebisu, K. (2020). Changes in U.S. air pollution during the COVID-19 pandemic. Science of The Total Environment, 739, 139864. https://doi.org/10.1016/j.scitotenv.2020.139864
- Adekunle, I. A., Onanuga, A. T., Akinola, O. O., & Ogunbanjo, O. W. (2020). Modelling spatial variations of coronavirus disease (COVID-19) in Africa. Science of The Total Environment, 729, 138998. https://doi.org/10.1016/j.scitotenv.2020.138998
- Wu, Y., Jing, W., Liu, J., Ma, Q., Yuan, J., Wang, Y., Du, M., & Liu, M. (2020). Effects of temperature and humidity on the daily new cases and new deaths of COVID-19 in 166 countries. Science of The Total Environment, 729, 139051. https://doi.org/10.1016/j.scitotenv.2020.139051
- Thu, T. P. B., Ngoc, P. N. H., Hai, N. M., & Tuan, L. A. (2020). Effect of the social distancing measures on the spread of COVID-19 in 10 highly infected countries. Science of The Total Environment, 742, 140430. https://doi.org/10.1016/j.scitotenv.2020.140430
- Oksanen, A., Kaakinen, M., Latikka, R., Savolainen, I., Savela, N., & Koivula, A. (2020). Regulation and Trust: 3-Month Follow-up Study on COVID-19 Mortality in 25 European Countries. JMIR Public Health and Surveillance, 6(2), e19218. https://doi.org/10.2196/19218
- Singh, R. K., Rani, M., Bhagavathula, A. S., Sah, R., Rodriguez-Morales, A. J., Kalita, H., Nanda, C., Sharma, S., Sharma, Y. D., Rabaan, A. A., Rahmani, J., & Kumar, P. (2020). Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model. JMIR Public Health and Surveillance, 6(2), e19115. https://doi.org/10.2196/19115
- Ghasemi, A., Boroumand, Y., & Shirazi, M. (2020). How do governments perform in facing COVID-19? Munich Personal RePEc Archive, Apr. 15, 2020, Accessed: Jul. 05, 2020. [Online]. Available: https://mpra.ub.uni-muenchen.de/99844/.
- Shirouyehzad, H., Jouzdani, J., & Khodadadi Karimvand, M. (2020). Fight against COVID-19: A global efficiency evaluation based on contagion control and medical treatment. Journal of Applied Research on Industrial Engineering, 7(2), 109–120. https://doi.org/10.22105/jarie.2020.225087.1146
- Shirouyehzad, H., Jouzdani, J., & Khodadadi-Karimvand, M. (2020). An Analysis of the COVID-19 Contagion Growth in European Countries. Iranian Journal of Optimization, 12(1), 11–19.
- Cameron, E. E., Nuzzo, J. B., & Bell, J. A. (2019). Global health security index: Building collective action and accountability. Nuclear Threat Initiative and Johns Hopkins Bloomberg School of Public Health.
- Popescu, C., Asandului, L., & Fatulescu, P. (2014). A Data Envelopment Analysis for Evaluating Romania’s Health System. Procedia - Social and Behavioral Sciences, 109, 1185–1189. https://doi.org/10.1016/j.sbspro.2013.12.609
- Stefko, R., Gavurova, B., & Kocisova, K. (2018). Healthcare efficiency assessment using DEA analysis in the Slovak Republic. Health Economics Review, 8(1), 1–12.
- Ozcan, Y. A. (2008). Health Care Benchmarking and Performance Evaluation: An Assessment using Data Envelopment Analysis (DEA). Springer US. https://doi.org/10.1007/978-0-387-75448-2
- Kaya Samut, P., & Cafrı, R. (2016). Analysis of the Efficiency Determinants of Health Systems in OECD Countries by DEA and Panel Tobit. Social Indicators Research, 129(1), 113–132. https://doi.org/10.1007/s11205-015-1094-3
- Kohl, S., Schoenfelder, J., Fügener, A., & Brunner, J. O. (2019). The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals. Health Care Management Science, 22(2), 245–286. https://doi.org/10.1007/s10729-018-9436-8
- Azadi, M., & Farzipoor Saen, R. (2013). A combination of QFD and imprecise DEA with enhanced Russell graph measure: A case study in healthcare. Socio-Economic Planning Sciences, 47(4), 281–291. https://doi.org/10.1016/j.seps.2013.05.001
- Tlotlego, N., Nonvignon, J., Sambo, L. G., Asbu, E. Z., & Kirigia, J. M. (2010). Assessment of productivity of hospitals in Botswana: A DEA application. International Archives of Medicine, 3, 27. https://doi.org/10.1186/1755-7682-3-27
- Morita, H., & Avkiran, N. K. (2009). Selecting inputs and outputs in data envelopment analysis by designing statistical experiments. Journal of the Operations Research Society of Japan, 52(2), 163–173. https://doi.org/10.15807/jorsj.52.163
- Huguenin, J.-M. (2012). Data envelopment analysis (DEA): A pedagogical guide for decision makers in the public sector. IDHEAP.
- Ray, S. C. (2004). Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research (1st ed.). Cambridge University Press. https://doi.org/10.1017/CBO9780511606731
- Boussofiane, A., Dyson, R. G., & Thanassoulis, E. (1991). Applied data envelopment analysis. European Journal of Operational Research, 52(1), 1–15. https://doi.org/10.1016/0377-2217(91)90331-O