An Analysis of the Sources of COVID-19 Resilience and Vulnerability of Turkey in the First Wave of COVID-19

Abstract

This paper aims to analyze the effects of the macro prevention efforts undertaken in Turkey at three different levels. We particularly focus on the effect of COVID-19 prevention arrangements on the health system resilience and resistance at a systemic level. Similarly, the social and health vulnerability of the regional populations to COVID-19 was measured, to encapsulate, in the first wave, to what extent these populations were able to be protected from the worst of the epidemic. We use regional and provincial COVID-19 data set (Hayat-Eve-Sığar module) together with the socioeconomic parameters (TUIK), and health system parameters (Health Statistics Yearbook) to create a map for COVID-19 pandemic, prevention arrangements, and economic impact of the pandemic. The results suggest that especially the health equilibrium of the Southeastern and Eastern Anatolian sections of the health system was protected (for the duration of the 1st wave), as a result of the lockdowns, whereas the economic collateral effects have been much more equally distributed among the provinces. At this stage, it is possible to state that, for the next waves of COVID-19 in Turkey, there is a potential economic benefit to implement less prevention at a national level. Moreover, we look at the effect of COVID-19 testing capacity on controlling the pandemic in Turkey to investigate to what extent testing has been able to identify, and control outbreaks. We find that the Turkish testing capacity looks in line with the overall health system capacity in the country and provides a neutral effect for controlling the pandemic.

Keywords

• Covid-19
• lockdown
• health system
• health resilience
• health vulnerability
• mortality

Kaynakça

1. 1. Alvaredo, F., Chancel, L., Piketty, T., Saez, E., Zucman, G. (Eds.). (2018). World inequality report 2020. Belknap Press.
2. 2. Attar, M. A., Tekin-Koru, A. (2022). Latent social distancing: Identification, causes and consequences. Economic Systems, 100944.
3. 3. Attar, M. A., Tekin-Koru, A. (2022). Dealing with Epidemiological Underestimation: A Simple Algorithm for COVID-19. Working Paper.
4. 4. Brough, Rebecca, Matthew Freedman, and David Phillips. (2020). Understanding socioeconomic disparities in travel behavior during the COVID-19 pandemic. University of California, Irvine Department of Economics Working Paper Series (2020).
5. 5. Brown, Caitlin S., and Martin Ravallion. Inequality and the coronavirus: Socioeconomic covariates of behavioral responses and viral outcomes across US counties. (2020) No. w27549. national Bureau of economic research.
6. 6. Bump, J. B., Baum, F., Sakornsin, M., Yates, R., Hofman, K. (2021). Political economy of covid-19: extractive, regressive, competitive. British Medical Journal, 372.
7. 7. Cakir, B. (2020). COVID-19 in Turkey: Lessons learned. Journal of Epidemiology and Global health, 10(2), 115.
8. 8. Chang, S., Pierson, E., Koh, P. W., Gerardin, J., Redbird, B., Grusky, D., Leskovec, J. (2021). Mobility network models of COVID-19 explain inequities and inform reopening. Nature, 589(7840), 82-87.

9. 9. Dong E, Du H, Gardner L. (2020) An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis; published online Feb 19. https://doi.org/10.1016/S1473-3099(20)30120-1.
10. 10. Google 2021. COVID-19 Community Mobility Results. https://www.google.com/covid19/mobility/.
11. 11. Hale, Thomas, et al. Variation in government responses to COVID-19. Blavatnik school of government working paper 31.2020-11 (2020).
12. 12. Horton, R. (2021). The COVID-19 catastrophe: What's gone wrong and how to stop it happening again. John Wiley & Sons.
13. 13. JHU. (2021). Covid-19 data repository. https://github.com/CSSEGISandData/COVID-19.
14. 14. Kiang, M. V., Irizarry, R. A., Buckee, C. O., Balsari, S. (2020). Everybody counts: measuring mortality from the COVID-19 pandemic. Annals of Internal Medicine.
15. 15. Marmot, M., Allen, J. (2020). COVID-19: exposing and amplifying inequalities. J Epidemiol Community Health, 74(9), 681-682.
16. 16. Pisano, Gary P., Raffaella Sadun, Michele Zanini. Lessons from Italy’s response to coronavirus. Harvard Business Review 27 (2020).
17. 17. Roser, M., Ospina, EO. (2019) Coronavirus Pandemic (COVID-19). Published online at OurWorldInData.org. Retrieved from: ‘https://ourworldindata.org/coronavirus-data’ [Online Resource]
18. 18. Shaw, R., Kim, Y. K., Hua, J. (2020). Governance, technology and citizen behavior in pandemic: Lessons from COVID-19 in East Asia. Progress in disaster science, 6, 100090.
19. 19. Stafford, M., Deeny, S. (2020) Inequalities and deaths involving COVID-19: What the links between inequalities tell us. The Health Foundation Newsletter.