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Nine Months of COVID-19 Pandemic in Europe: A Comparative Time Series Analysis of Cases and Fatalities in 35 Countries

Author

Listed:
  • David Meintrup

    (Faculty of Engineering and Management, University of Applied Sciences Ingolstadt, 85049 Ingolstadt, Germany)

  • Martina Nowak-Machen

    (Department of Anaesthesia and Intensive Care Medicine, Ingolstadt Hospital, 85049 Ingolstadt, Germany)

  • Stefan Borgmann

    (Department of Infectious Diseases and Infection Control, Ingolstadt Hospital, 85049 Ingolstadt, Germany)

Abstract

(1) Background: to describe the dynamic of the pandemic across 35 European countries over a period of 9 months. (2) Methods: a three-phase time series model was fitted for 35 European countries, predicting deaths based on SARS-CoV-2 incidences. Hierarchical clustering resulted in three clusters of countries. A multiple regression model was developed predicting thresholds for COVID-19 incidences, coupled to death numbers. (3) Results: The model showed strongly connected deaths and incidences during the waves in spring and fall. The corrected case-fatality rates ranged from 2% to 20.7% in the first wave, and from 0.5% to 4.2% in the second wave. If the incidences stay below a threshold, predicted by the regression model ( R 2 = 85.0 % ), COVID-19 related deaths and incidences were not necessarily coupled. The clusters represented different regions in Europe, and the corrected case-fatality rates in each cluster flipped from high to low or vice versa. Severely and less severely affected countries flipped between the first and second wave. (4) Conclusions: COVID-19 incidences and related deaths were uncoupled during the summer but coupled during two waves. Once a country-specific threshold of infections is reached, death numbers will start to rise, allowing health care systems and countries to prepare.

Suggested Citation

  • David Meintrup & Martina Nowak-Machen & Stefan Borgmann, 2021. "Nine Months of COVID-19 Pandemic in Europe: A Comparative Time Series Analysis of Cases and Fatalities in 35 Countries," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:12:p:6680-:d:579160
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    References listed on IDEAS

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    1. Li, Shaoran & Linton, Oliver, 2021. "When will the Covid-19 pandemic peak?," Journal of Econometrics, Elsevier, vol. 220(1), pages 130-157.
    2. Shaofu Lin & Yu Fu & Xiaofeng Jia & Shimin Ding & Yongxing Wu & Zhou Huang, 2020. "Discovering Correlations between the COVID-19 Epidemic Spread and Climate," IJERPH, MDPI, vol. 17(21), pages 1-14, October.
    3. Giuseppe Agapito & Chiara Zucco & Mario Cannataro, 2020. "COVID-WAREHOUSE: A Data Warehouse of Italian COVID-19, Pollution, and Climate Data," IJERPH, MDPI, vol. 17(15), pages 1-22, August.
    4. Contreras-Reyes, Javier E. & Idrovo-Aguirre, Byron J., 2020. "Backcasting and forecasting time series using detrended cross-correlation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
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    Cited by:

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    2. Daniel Kovarek & Gábor Dobos, 2023. "Masking the Strangulation of Opposition Parties as Pandemic Response: Austerity Measures Targeting the Local Level in Hungary," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 16(1), pages 105-117.

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