Abstract
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.
Authors’ Contributions: Muhammed Tarık Altuncu conducted the computational research. Nur Sevencan and Ayşe Seyyide Kaptaner were responsible for the social science research and obtaining additional data. All authors analysed the data and wrote the manuscript.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Voronoi regions are polygonal regions constructed by unit areas that have the same number of base stations as the nearest one [22].
- 2.
Details about the Distance Matrix API could be obtained from https://developers.google.com/maps/documentation/distance-matrix/start.
- 3.
The interactive map is published on http://bit.ly/refugee_map.
References
Halk sağlığı genel müdürlüğü. https://hsgm.saglik.gov.tr/tr/
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 37–47
Anderson C (2016) Clustering the US population: observation-weighted k-means. https://towardsdatascience.com/clustering-the-us-population-observation-weighted-k-means-f4d58b370002
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. http://dl.acm.org/citation.cfm?id=1283383.1283494
Aurenhammer F (1991) Voronoi diagrams—a survey of a fundamental geometric data structure. ACM Comput Surv 23(3):345–405. https://doi.org/10.1145/116873.116880, http://portal.acm.org/citation.cfm?doid=116873.116880
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. http://halksagligiokulu.org/anasayfa/components/com_booklibrary/ebooks/18_UHSK_KONGRE_KITABI.pdf
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). http://halksagligiokulu.org/anasayfa/components/com_booklibrary/ebooks/18_UHSK_KONGRE_KITABI.pdf
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). https://ideas.repec.org/a/mig/journl/v15y2018i1p113-124.html
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. https://doi.org/10.1109/ECTICon.2016.7561328
Diker E (2018) Bibliographies on Syrian Refugees in Turkey: Health. https://mirekoc.ku.edu.tr/wp-content/uploads/2016/05/Mirekoc_Bibliographies_on_Syrian_Refugees_in_Turkey_30.07.2018-WEB.pdf
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. https://dl.acm.org/citation.cfm?id=3001507
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. https://doi.org/10.1080/20477724.2017.1349061
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 133–151
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). https://doi.org/10.1136/bmjopen-2016-013059, https://bmjopen.bmj.com/content/6/11/e013059.citation-tools
Mitchell S, Consulting SM, Dunning I (2011) PuLP: a linear programming toolkit for python
Ozdogan HK, Karateke F, Ozdogan M, Satar S (2014) Syrian refugees in Turkey: effects on intensive care. Lancet 384(9952):1427–8. https://doi.org/10.1016/S0140-6736(14)61862-6, http://www.ncbi.nlm.nih.gov/pubmed/25390324
ReVelle CS, Swain RW (1970) Central facilities location. Geogr Anal 2(1):30–42
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, http://d4r.turktelekom.com.tr/presentation/project-evaluation-committee
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. http://www.ijcem.com/files/ijcem0027188.pdf
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). https://doi.org/10.1109/HPCC-SmartCity-DSS.2017.16
UNHCR: UNHCR Turkey: Key Facts and Figures. Tech. Rep. November, UNHCR (2016). https://data2.unhcr.org/en/documents/details/52526
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. https://doi.org/10.1088/1751-8113/41/22/224015, https://doi.org/10.1088/1751-8113/41/22/224015/pdf
Acknowledgements
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Altuncu, M.T., Kaptaner, A.S., Sevencan, N. (2019). Optimizing the Access to Healthcare Services in Dense Refugee Hosting Urban Areas: A Case for Istanbul. In: Salah, A., Pentland, A., Lepri, B., Letouzé, E. (eds) Guide to Mobile Data Analytics in Refugee Scenarios. Springer, Cham. https://doi.org/10.1007/978-3-030-12554-7_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-12554-7_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12553-0
Online ISBN: 978-3-030-12554-7
eBook Packages: Computer ScienceComputer Science (R0)