IDEAS home Printed from https://ideas.repec.org/a/spr/joimai/v21y2020i3d10.1007_s12134-019-00686-9.html
   My bibliography  Save this article

EU-28 Country Clusters and Patterns of Disease During the European Refugee Crisis

Author

Listed:
  • Songul Cinaroglu

    (Hacettepe University)

Abstract

The current refugee crisis has forced European countries to face an increase in chronic disease and the re-emergence of previously eradicated infectious diseases. This study examines Eurostat statistics for the year 2015 for 28 European countries and Turkey to investigate the interplay of patterns of chronic and infectious diseases and migration integration indicators among European country groups. Study results indicate the prevalence of two distinct clusters of chronic and infectious diseases and migration integration indicators, whereby the group comprising major host countries such as Germany, Turkey, and Spain is contrasted with the second group comprising other countries. Country clusters differ in terms of all study variables (p ˂ 0.0001). Increasing collaboration and developing measures to address health inequalities and improve refugee integration in order to reduce threats from chronic infectious diseases are advisable strategies for health policymakers in Europe.

Suggested Citation

  • Songul Cinaroglu, 2020. "EU-28 Country Clusters and Patterns of Disease During the European Refugee Crisis," Journal of International Migration and Integration, Springer, vol. 21(3), pages 879-891, September.
  • Handle: RePEc:spr:joimai:v:21:y:2020:i:3:d:10.1007_s12134-019-00686-9
    DOI: 10.1007/s12134-019-00686-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12134-019-00686-9
    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/s12134-019-00686-9?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. Ioana Manafi & Daniela Marinescu & Monica Roman & Karen Hemming, 2017. "Mobility in Europe: Recent Trends from a Cluster Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 19(46), pages 711-711, August.
    2. Knai, Cécile & Brusamento, Serena & Legido-Quigley, Helena & Saliba, Vanessa & Panteli, Dimitra & Turk, Eva & Car, Josip & McKee, Martin & Busse, Reinhard, 2012. "Systematic review of the methodological quality of clinical guideline development for the management of chronic disease in Europe," Health Policy, Elsevier, vol. 107(2), pages 157-167.
    3. Celeux, Gilles & Govaert, Gerard, 1992. "A classification EM algorithm for clustering and two stochastic versions," Computational Statistics & Data Analysis, Elsevier, vol. 14(3), pages 315-332, October.
    4. Sirkeci, Ibrahim & Cohen, Jeffrey H., 2016. "Cultures of Migration and Conflict in Contemporary Human Mobility in Turkey," European Review, Cambridge University Press, vol. 24(3), pages 381-396, July.
    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. Adrian O’Hagan & Arthur White, 2019. "Improved model-based clustering performance using Bayesian initialization averaging," Computational Statistics, Springer, vol. 34(1), pages 201-231, March.
    2. François Bavaud, 2009. "Aggregation invariance in general clustering approaches," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 3(3), pages 205-225, December.
    3. Jeffrey H. Cohen, 2017. "Editorial: Advancing Scholarship on Remittances," Remittances Review, Remittances Review, vol. 2(1), pages 1-4, May.
    4. Faicel Chamroukhi, 2016. "Piecewise Regression Mixture for Simultaneous Functional Data Clustering and Optimal Segmentation," Journal of Classification, Springer;The Classification Society, vol. 33(3), pages 374-411, October.
    5. Mukhopadhyay, Subhadeep & Ghosh, Anil K., 2011. "Bayesian multiscale smoothing in supervised and semi-supervised kernel discriminant analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2344-2353, July.
    6. Grün, Bettina & Leisch, Friedrich, 2008. "FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i04).
    7. Hornik, Kurt & Grün, Bettina, 2014. "movMF: An R Package for Fitting Mixtures of von Mises-Fisher Distributions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i10).
    8. Sinan Zeyneloglu & Olga Aymerich & Gohdar Mzuri & Ibrahim Sirkeci, 2021. "Scars of Conflict in the Population Structure of Iraqi Kurdistan: An Unfortunate Cohort and Its “Fortunate” Survivors," Population and Development Review, The Population Council, Inc., vol. 47(2), pages 323-346, June.
    9. M. Vrac & L. Billard & E. Diday & A. Chédin, 2012. "Copula analysis of mixture models," Computational Statistics, Springer, vol. 27(3), pages 427-457, September.
    10. repec:jss:jstsof:28:i04 is not listed on IDEAS
    11. Pinar Yazgan & Deniz Eroglu Utku & Ibrahim Sirkeci, 2015. "Syrian Crisis and Migration," Migration Letters, Migration Letters, vol. 12(3), pages 181-192, September.
    12. Chehade, Abdallah & Savargaonkar, Mayuresh & Krivtsov, Vasiliy, 2022. "Conditional Gaussian mixture model for warranty claims forecasting," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    13. García-Escudero, L.A. & Gordaliza, A. & Mayo-Iscar, A. & San Martín, R., 2010. "Robust clusterwise linear regression through trimming," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3057-3069, December.
    14. Yves Grandvalet & Yoshua Bengio, 2004. "Learning from Partial Labels with Minimum Entropy," CIRANO Working Papers 2004s-28, CIRANO.
    15. Murphy, Thomas Brendan & Martin, Donal, 2003. "Mixtures of distance-based models for ranking data," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 645-655, January.
    16. Keiji Takai, 2012. "Constrained EM algorithm with projection method," Computational Statistics, Springer, vol. 27(4), pages 701-714, December.
    17. Volodymyr Melnykov & Xuwen Zhu, 2019. "An extension of the K-means algorithm to clustering skewed data," Computational Statistics, Springer, vol. 34(1), pages 373-394, March.
    18. Bouveyron, Charles & Brunet, Camille, 2012. "Theoretical and practical considerations on the convergence properties of the Fisher-EM algorithm," Journal of Multivariate Analysis, Elsevier, vol. 109(C), pages 29-41.
    19. Ibrahim Sirkeci, 2016. "Transnational Döner Kebab taking over the UK," Transnational Marketing Journal, Oxbridge Publishing House, UK, vol. 4(2), pages 143-158, October.
    20. Francesco Dotto & Alessio Farcomeni & Luis Angel García-Escudero & Agustín Mayo-Iscar, 2017. "A fuzzy approach to robust regression clustering," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(4), pages 691-710, December.
    21. Kindberg-Hanlon,Gene & Okou,Cedric Iltis Finafa, 2020. "Productivity Convergence : Is Anyone Catching Up?," Policy Research Working Paper Series 9378, The World Bank.

    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:joimai:v:21:y:2020:i:3:d:10.1007_s12134-019-00686-9. 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.