IDEAS home Printed from https://ideas.repec.org/a/spr/joprea/v39y2022i4d10.1007_s12546-021-09257-1.html
   My bibliography  Save this article

The influence of social and economic ties to the spread of COVID-19 in Europe

Author

Listed:
  • Ryohei Mogi

    (Universitat Autònoma de Barcelona)

  • Jeroen Spijker

    (Universitat Autònoma de Barcelona)

Abstract

By late January 2020, the 2019 novel coronavirus (SARS-CoV-2) had reached Europe and most European countries had registered cases by March 1. However, the spread of the virus has been uneven in both prevalence and speed of propagation. We analyse the association of social, economic, and demographic factors in the initial spread of the coronavirus disease COVID-19 across 23 European countries between March 1 and April 30, 2020. Diagnosed COVID-19 cases from Johns Hopkins University and data from the European Social Survey and other sources were used to estimate bivariate associations between cumulative reported case numbers at ten-day intervals and nine social, demographic, and economic variables. To avoid overfitting, we first reduce these variables to three factors by factor analysis before conducting a multiple regression analysis. We also perform a sensitivity analysis using rates and new cases between two time periods. Results showed that social and economic factors are strongly and positively associated with COVID-19 throughout the studied period, while the association with population density and cultural factors was initially low, but by April, was higher than the earlier mentioned factors. For future influenza-like pandemics, implementing strict movement restrictions from early on will be crucial to curb the spread of such diseases in economically, socially, and culturally vibrant and densely populated countries.

Suggested Citation

  • Ryohei Mogi & Jeroen Spijker, 2022. "The influence of social and economic ties to the spread of COVID-19 in Europe," Journal of Population Research, Springer, vol. 39(4), pages 495-511, December.
  • Handle: RePEc:spr:joprea:v:39:y:2022:i:4:d:10.1007_s12546-021-09257-1
    DOI: 10.1007/s12546-021-09257-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12546-021-09257-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12546-021-09257-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bartscher, Alina Kristin & Seitz, Sebastian & Siegloch, Sebastian & Slotwinski, Michaela & Wehrhöfer, Nils, 2021. "Social capital and the spread of covid-19: Insights from european countries," Journal of Health Economics, Elsevier, vol. 80(C).
    2. Kuhn, Moritz & Bayer, Christian, 2020. "Intergenerational ties and case fatality rates: A cross-country analysis," CEPR Discussion Papers 14519, C.E.P.R. Discussion Papers.
    3. Joël Mossong & Niel Hens & Mark Jit & Philippe Beutels & Kari Auranen & Rafael Mikolajczyk & Marco Massari & Stefania Salmaso & Gianpaolo Scalia Tomba & Jacco Wallinga & Janneke Heijne & Malgorzata Sa, 2008. "Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases," PLOS Medicine, Public Library of Science, vol. 5(3), pages 1-1, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cristini, Annalisa & Trivin, Pedro, 2022. "Close encounters during a pandemic: Social habits and inter-generational links in the first two waves of COVID-19," Economics & Human Biology, Elsevier, vol. 47(C).
    2. Cristini, Annalisa & Trivin, Pedro, 2020. "Close encounters on the verge of a pandemic: the role of social contacts on the spread and mortality of COVID-19," MPRA Paper 103075, University Library of Munich, Germany.
    3. Laliotis, Ioannis & Minos, Dimitrios, 2022. "Religion, social interactions, and COVID-19 incidence in Western Germany," European Economic Review, Elsevier, vol. 141(C).
    4. Luca Di Gialleonardo & Mauro Marè & Antonello Motroni & Francesco Porcelli, 2020. "Family Ties and the Pandemic: Some Evidence from Sars-CoV-2," Working papers 100, Società Italiana di Economia Pubblica.
    5. Glover, Andrew & Heathcote, Jonathan & Krueger, Dirk & Ríos-Rull, José-Víctor, 2023. "Health versus wealth: On the distributional effects of controlling a pandemic," Journal of Monetary Economics, Elsevier, vol. 140(C), pages 34-59.
    6. Stefano Bartolini & Francesco Sarracino & Giulia Slater, 2020. "Do epidemics impose a trade-off between freedom and health? Evidence from Europe during Covid-19," Department of Economics University of Siena 848, Department of Economics, University of Siena.
    7. Borgonovi, Francesca & Andrieu, Elodie & Subramanian, S.V., 2021. "The evolution of the association between community level social capital and COVID-19 deaths and hospitalizations in the United States," Social Science & Medicine, Elsevier, vol. 278(C).
    8. Olivier Damette & Stéphane Goutte, 2020. "The macroeconomic determinants of COVID-19 mortality rate and the role of post subprime crisis decisions," Working Papers halshs-02620834, HAL.
    9. Giagheddu, Marta & Papetti, Andrea, 2023. "The macroeconomics of age-varying epidemics," European Economic Review, Elsevier, vol. 151(C).
    10. Ichino, Andrea & Favero, Carlo A. & Rustichini, Aldo, 2020. "Restarting the economy while saving lives under Covid-19," CEPR Discussion Papers 14664, C.E.P.R. Discussion Papers.
    11. M. Hashem Pesaran & Cynthia Fan Yang, 2022. "Matching theory and evidence on Covid‐19 using a stochastic network SIR model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1204-1229, September.
    12. Wei Zhong, 2017. "Simulating influenza pandemic dynamics with public risk communication and individual responsive behavior," Computational and Mathematical Organization Theory, Springer, vol. 23(4), pages 475-495, December.
    13. S. M. Niaz Arifin & Christoph Zimmer & Caroline Trotter & Anaïs Colombini & Fati Sidikou & F. Marc LaForce & Ted Cohen & Reza Yaesoubi, 2019. "Cost-Effectiveness of Alternative Uses of Polyvalent Meningococcal Vaccines in Niger: An Agent-Based Transmission Modeling Study," Medical Decision Making, , vol. 39(5), pages 553-567, July.
    14. Francesco Sarracino & Kelsey J. O’Connor, 2023. "Neo-humanism and COVID-19: Opportunities for a socially and environmentally sustainable world," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(1), pages 9-41, February.
    15. Gebka, Bartosz & Kanungo, Rama Prasad & Wildman, John, 2024. "The transition from COVID-19 infections to deaths: Do governance quality and corruption affect it?," Journal of Policy Modeling, Elsevier, vol. 46(2), pages 235-253.
    16. Bisin, Alberto & Moro, Andrea, 2022. "Spatial‐SIR with network structure and behavior: Lockdown rules and the Lucas critique," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 370-388.
    17. Mirjam Kretzschmar & Rafael T Mikolajczyk, 2009. "Contact Profiles in Eight European Countries and Implications for Modelling the Spread of Airborne Infectious Diseases," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-8, June.
    18. Andrei I. Vlad & Alexei A. Romanyukha & Tatiana E. Sannikova, 2024. "Parameter Tuning of Agent-Based Models: Metaheuristic Algorithms," Mathematics, MDPI, vol. 12(14), pages 1-21, July.
    19. Mona Foertsch & Felix Roesel, 2023. "Sports Clubs and Populism: Quasi-Experimental Evidence from German Cities," CESifo Working Paper Series 10259, CESifo.
    20. Aparicio Fenoll, Ainoa & Grossbard, Shoshana, 2020. "Intergenerational residence patterns and Covid-19 fatalities in the EU and the US," Economics & Human Biology, Elsevier, vol. 39(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joprea:v:39:y:2022:i:4:d:10.1007_s12546-021-09257-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.