Geographical Inequalities in Coronavirus (SARS-COV-2) Mortality in Europe

Author(s)

Elmer D1, Endrei D2, Csákvári T2, Németh N2, Horváth L2, Danku N2, Kívés Z3, Boncz I2
1University of Pécs, Budapest, PE, Hungary, 2University of Pécs, Pécs, Hungary, 3University of Pécs, PÉCS, BA, Hungary

OBJECTIVES

Morbidity and mortality rates show different patterns in European countries. The aim of the study was to map geographical inequalities in mortality caused by coronavirus (Sars-COV-2) infection in Europe in 2020.

METHODS

In our research the ’COVID deaths by week, 2020 and 2021’ indicator from ’OECD Health Statistics’ online database was analysed. Mortality data reported for weeks were aggregated, and calculated for 1,000,000 population using the Eurostat database on the population number for 2020. European countries were classified and compared according to their geographical location: Western-European, Eastern-European, Mediterranean and Nordic countries. After a preliminary normality test (Shapiro-Wilk test) single factor analysis of variance (ANOVA) was performed for comparison. Our analysis was carried out at a 95% probability level (p<0.05). SPSS 25.0 software was used for calculations.

RESULTS

In Western Europe, an overall 886, Eastern Europe 826, in Mediterranean region 1,083 and in Northern Europe 463 COVID deaths per 1,000,000 population were reported in 2020. In Europe, Belgium (1,725 deaths/1,000,000 population), Slovenia (1,379 deaths/1,000,000 population) and the United Kingdom (1,331 deaths/1,000,000 population) had the highest registered number of death cases, whereas the lowest numbers recorded were in Norway (84/1,000,000), Finland (102/1,000,000) and Estonia (189/1,000,000). Single factor analysis of variance (ANOVA) did not show significant differences among country groups (p=0.119).

CONCLUSIONS

Our study revealed that overall, the lowest death rates resulting from the coronavirus infection were reported in Northern Europe in proportion to the population. There were no significant differences between the mortality rates of the geographical areas examined.

Conference/Value in Health Info

2021-11, ISPOR Europe 2021, Copenhagen, Denmark

Value in Health, Volume 24, Issue 12, S2 (December 2021)

Code

POSB178

Topic

Epidemiology & Public Health, Health Policy & Regulatory, Real World Data & Information Systems

Topic Subcategory

Health & Insurance Records Systems, Health Disparities & Equity, Public Health

Disease

Infectious Disease (non-vaccine)

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