Socio-economic, demographic and health determinants of the coronavirus pandemic: Analysis of data from OECD countries
Abstract
Objective: The main objective of this study was to examine the socio-economic, demographic and health determinants affecting the number of coronavirus cases, the number of coronavirus deaths, case fatality rates per 1,000 cases and coronavirus deaths per 1,000,000 population in OECD countries. Methods: The study was undertaken using 20 different independent variables and 4 different dependent variables, which were all obtained from the OECD and WHO databases. The study utilizes multiple linear regression statistical techniques to reveal the socio-economic, demographic and health determinants of the coronavirus pandemic. Results: The findings of the study show that higher shares of current expenditure on health in GDP, higher prevalence of obesity among adults, higher percentage of raised blood glucose levels among adults and the stringency index (which indicates the extent of the measures taken by the government related with the coronavirus outbreak) are influential on both the number of coronavirus cases and deaths in OECD countries. Increased case fatality rates seem to be closely related to the stringency index, higher share of current expenditure on health in GDP and higher percentage of tobacco users among adults in OECD countries. On the other hand, factors such as the stringency index, higher life expectancy at birth, higher use of tobacco and higher share of current expenditure on health in GDP are effective on the coronavirus death rate per 1,000,000 population. Conclusions: The demographic, economic, political and health factors that determine the current number of coronavirus cases and deaths indicate that the pandemic as a public health problem cannot be eliminated only with health interventions and that multi-dimensional policies are needed.
Keywords
OECD, Coronavirus, number of coronavirus cases, number of coronavirus deaths, case fatality rate, stringency index
References
- Atkeson, A. (2020). What will be the economic impact of COVID-19 in the US? Rough estimates of disease scenarios. NBER Working Paper 26867.
- Bignami, S., ve Ghio, D. (2020). A demographic adjustment to improve measurement of COVID- 19 severity at the developing stage of the pandemic. medRxiv, https://doi.org/10.1101/2020.03.23.20040998.
- Borjas, G. J. (2020). Demographic Determinants of Testing Incidence and COVID-19 Infections in New York City Neighborhoods (No. 13115). Institute of Labor Economics (IZA).
- Chen, T. M., Rui, J., Wang, Q. P., Zhao, Z. Y., Cui, J. A., & Yin, L. (2020). A mathematical model for simulating the phase-based transmissibility of a novel coronavirus. Infectious Diseases of Poverty. 9(1), 1-8.
- David B, Xiaolong Q, Karin N.S, Didier M, Léo Pr, Guillaume F. (2020). Real estimates of mortality following COVID-19 infection. The Lancet Infectious Diseases. https://doi.org/10.1016/S1473-3099(20)30195-X.
- Dudel, C, Riffe, T. Acosta, E, van Raalte, AA. And Myrskyla, M. (2020) Monitoring trends and differences in COVID-19 case fatality rates using decomposition methods: Contributions of age structure and age-specific fatality, Max Planck Institute for Demographic Research, Germany. https://osf.io/dtmve/ (Accessed on 12/04/2010).
- Jordan, R. E., Adab, P., & Cheng, K. K. (2020). Covid-19: risk factors for severe disease and death. Britich Medical Journal, 368 doi: https://doi.org/10.1136/bmj.m1198
- Marzia L, ve Giovanni P. (2020). COVID-19 in Italy: momentous decisions and many uncertainties. The Lancet Global Health. https://doi.org/10.1016/S2214-109X(20)30110-8.
- Qun L, Xuhua G, Peng W, Xiaoye W, Lei Z, Yeqing T, Ruiqi R, Kathy S.M. Leung, Eric H.Y. L, Jessica Y. W, Xuesen X, et al (2020). Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia. New England Journal of Medicine 382: 1199-1207.
- OECD (2020) Evaluating the initial impact of COVID-19 containment measures on economic activity, Tackling Coronavirus Contributing to Global Effort, OECD. http://www.cica.net/wp-content/uploads/2020/04/200331_OECD_evaluating-initial-impact-of-Covid-19.pdf (Accessed on 12/04/2010).