Optimizing the Access to Healthcare Services in Dense Refugee Hosting Urban Areas: A Case for Istanbul



With over 3.5 million refugees, Turkey continues to host the world’s largest refugee population. This introduced several challenges in many areas including access to healthcare system. Refugees have legal rights to free healthcare services in Turkey’s public hospitals. With the aim of increasing healthcare access for refugees, we looked at where the lack of infrastructure is felt the most. Our study attempts to address these problems by assessing whether Migrant Health Centers’ locations are optimal. The aim of this study is to improve refugees’ access to healthcare services in Istanbul by improving the locations of health facilities available to them. We used call data records provided by Turk Telekom.



We thank the rest of the members of TRT World’s team for the Data for Refugees challenge: Basri Ciftci, Berk Baytar, Soud Hyder, and Yasin Sancaktutan. We also thank Mehmet Efe Akengin for providing intellectual support, and Hamza Osmanogullari for logistic support.


  1. 1.
    Halk sağlığı genel müdürlüğü.
  2. 2.
    Akgün G, Atlar AB, Balyemez S, Çalışkan ÇO, Çekiç TI, Çılgın K, Çolak N, Doğançayır CM, Koca A, Kurtarır E, Kutluca AK, Pak EÖ, Ölmez M, Sungur C, Yıkıcı A, Yılmaz E (2016) Timeline of Syrian Refugees [In Turkish]. In: Çekiç TI, Pak EO, Yılmaz E (eds) Istanbul Kent Almanağı 2015. TMMOB Şehir Plancıları Odası Istanbul Şubesi, Istanbul, pp 37–47Google Scholar
  3. 3.
    Anderson C (2016) Clustering the US population: observation-weighted k-means.
  4. 4.
    Arthur D, Vassilvitskii S (2007) K-means++: the advantages of careful seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms, pp 1027–1035. SODA ‘07, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA.
  5. 5.
    Aurenhammer F (1991) Voronoi diagrams—a survey of a fundamental geometric data structure. ACM Comput Surv 23(3):345–405., Scholar
  6. 6.
    Bahadir H, Ucku R (2015) A descriptive field research: Syrian Refugee Women’s Reproductive Health, Izmir. [In Turkish]. In: Şaşmaz CT (ed) Book of proceedings of 18th national public health congress, pp 1008–1009. HASUDER Yayınları, Konya.
  7. 7.
    Baş D, Arkant C, Muqat A, Arafa M, Sipahi T, Eskiocak M (2015) The Circumstances of Syrian Refugees in Edirne. [In Turkish]. In: Şaşmaz CT (ed) Book of proceedings of 18th national public health congress, pp 214–215. HASUDER Yayınları, Konya (2015).
  8. 8.
    Bilecen B, Yurtseven D (2018) Temporarily protected Syrians’ access to the healthcare system in Turkey: changing policies and remaining challenges. Migr Lett 15(1):113–124 (1 2018). Scholar
  9. 9.
    Demissie MG, Antunes F, Bento C, Phithakkitnukoon S, Sukhvibul T (2016) Inferring origin-destination flows using mobile phone data: a case study of Senegal. In: 2016 13th International conference on electrical engineering/electronics, computer, telecommunications and information technology (ECTI-CON), pp 1–6.
  10. 10.
  11. 11.
    Ester M, Kriegel HP, Sander J, Xu X (1996) A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise.
  12. 12.
    Gulacti U, Lok U, Polat H (2017) Emergency department visits of Syrian refugees and the cost of their healthcare. Pathogens Global Health 111(5):219–224. Scholar
  13. 13.
    Isaacman S, Becker R, Cáceres R, Kobourov S, Martonosi M, Rowland J, Varshavsky A (2011) Identifying important places in people’s lives from cellular network data. In: Lyons K, Hightower J, Huang EM (eds) Pervasive computing. Springer, Berlin, Heidelberg, pp 133–151CrossRefGoogle Scholar
  14. 14.
    Kelly C, Hulme C, Farragher T, Clarke G (2016) Are differences in travel time or distance to healthcare for adults in global north countries associated with an impact on health outcomes? A systematic review (11 2016)., Scholar
  15. 15.
    Mitchell S, Consulting SM, Dunning I (2011) PuLP: a linear programming toolkit for pythonGoogle Scholar
  16. 16.
    Ozdogan HK, Karateke F, Ozdogan M, Satar S (2014) Syrian refugees in Turkey: effects on intensive care. Lancet 384(9952):1427–8., Scholar
  17. 17.
    ReVelle CS, Swain RW (1970) Central facilities location. Geogr Anal 2(1):30–42CrossRefGoogle Scholar
  18. 18.
    Salah A, Pentland A, Lepri B, Letouzé E, Vinck P, de Montjoye Y, Dong X, Dağdelen O (2018) Data for Refugees: the D4R Challenge on Mobility of Syrian Refugees in Turkey. arxiv:1807.00523,
  19. 19.
    Savas N, Arslan E, Inandı T, Yeniçeri A, Erdem M, Kabacaoğlu M, Peker E, Alışkın O (2016) Syrian refugees in Hatay/Turkey and their influence on health care at the university hospital. Int J Clin Exp Med 9(9):18281–18290.
  20. 20.
    Tongsinoot L, Muangsin V (2017) Exploring home and work locations in a city from mobile phone data. In: 2017 IEEE 19th international conference on high performance computing and communications; IEEE 15th international conference on smart city; IEEE 3rd international conference on data science and systems (HPCC/SmartCity/DSS), pp 123–129 (12 2017).
  21. 21.
    UNHCR: UNHCR Turkey: Key Facts and Figures. Tech. Rep. November, UNHCR (2016).
  22. 22.
    Zhi-Dan Z, Hu X, Shang MS (2008) Uncovering individual and collective human dynamics from mobile phone records. J Phys A: Math Theor 41:224015.,

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Imperial College LondonLondonUK
  2. 2.TRT WorldIstanbulTurkey
  3. 3.Birkbeck, University of LondonLondonUK

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