» Articles » PMID: 33553086

Associating the Change in New COVID-19 Cases to GDP Per Capita in 38 European Countries in the First Wave of the Pandemic

Overview
Specialty Public Health
Date 2021 Feb 8
PMID 33553086
Citations 12
Authors
Affiliations
Soon will be listed here.
Abstract

COVID-19 has affected all countries globally. We explore associations between the change in new COVID-19 registered cases per million population and various macroeconomic and well-being indicators in 38 European countries over a 2-month period (1st April-31st May 2020). A statistically significant ( = 0.002) negative association was estimated between the change in new COVID-19 cases and GDP per capita, after controlling for key health determinants including public expenditure on health, life expectancy, smoking tobacco and sanitation. The country with the highest GDP per capita in Europe (i.e., Luxemburg) was found to experience the lowest change in new COVID-19 cases within the time period whilst the opposite was found for countries with lower GDP per capita (i.e., Ukraine, Bulgaria, and Romania). The outcomes of this study indicate that, in the first wave of the pandemic in Europe, a country's GDP per capita might be associated with a lower rate of new COVID-19 cases. The study concludes by suggesting that in European regions a country's economic performance should be a critical health priority for policy makers.

Citing Articles

The Inverted U-Shaped Relationship Between Socio-Economic Status and Infections During the COVID-19 Pandemic.

Sun Y, Liu W, Zhang G, Shi P Geohealth. 2024; 8(5):e2024GH001025.

PMID: 38784719 PMC: 11114092. DOI: 10.1029/2024GH001025.


How National Culture Influences the Speed of COVID-19 Spread: Three Cross-Cultural Studies.

Huang X, Gupta V, Feng C, Yang F, Zhang L, Zheng J Cross Cult Res. 2024; 57(2-3):193-238.

PMID: 38603334 PMC: 9703026. DOI: 10.1177/10693971221141478.


Social and economic variables explain COVID-19 diffusion in European regions.

Cancedda C, Cappellato A, Maninchedda L, Meacci L, Peracchi S, Salerni C Sci Rep. 2024; 14(1):6142.

PMID: 38480771 PMC: 10937953. DOI: 10.1038/s41598-024-56267-z.


Trends of the COVID-19 dynamics in 2022 and 2023 vs. the population age, testing and vaccination levels.

Nesteruk I Front Big Data. 2024; 6:1355080.

PMID: 38269394 PMC: 10806249. DOI: 10.3389/fdata.2023.1355080.


The Impact of SARS-CoV-2 Immune Status and Societal Restrictions in Controlling COVID-19 across the World.

Stroo J, Lepolder M, Murk J, Rijkers G Vaccines (Basel). 2023; 11(9).

PMID: 37766084 PMC: 10535952. DOI: 10.3390/vaccines11091407.


References
1.
Mackenbach J, Looman C . Life expectancy and national income in Europe, 1900-2008: an update of Preston's analysis. Int J Epidemiol. 2013; 42(4):1100-10. DOI: 10.1093/ije/dyt122. View

2.
Fan G, Yang Z, Lin Q, Zhao S, Yang L, He D . Decreased Case Fatality Rate of COVID-19 in the Second Wave: A study in 53 countries or regions. Transbound Emerg Dis. 2020; 68(2):213-215. DOI: 10.1111/tbed.13819. View

3.
Drydakis N . The effect of unemployment on self-reported health and mental health in Greece from 2008 to 2013: a longitudinal study before and during the financial crisis. Soc Sci Med. 2015; 128:43-51. DOI: 10.1016/j.socscimed.2014.12.025. View

4.
Clark A, Jit M, Warren-Gash C, Guthrie B, Wang H, Mercer S . Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study. Lancet Glob Health. 2020; 8(8):e1003-e1017. PMC: 7295519. DOI: 10.1016/S2214-109X(20)30264-3. View

5.
Ward J, Viner R . The impact of income inequality and national wealth on child and adolescent mortality in low and middle-income countries. BMC Public Health. 2017; 17(1):429. PMC: 5425964. DOI: 10.1186/s12889-017-4310-z. View