IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0141113.html
   My bibliography  Save this article

Spatial Access to Emergency Services in Low- and Middle-Income Countries: A GIS-Based Analysis

Author

Listed:
  • Gavin Tansley
  • Nadine Schuurman
  • Ofer Amram
  • Natalie Yanchar

Abstract

Injury is a leading cause of the global disease burden, accounting for 10 percent of all deaths worldwide. Despite 90 percent of these deaths occurring in low and middle-income countries (LMICs), the majority of trauma research and infrastructure development has taken place in high-income settings. Furthermore, although accessible services are of central importance to a mature trauma system, there remains a paucity of literature describing the spatial accessibility of emergency services in LMICs. Using data from the Service Provision Assessment component of the Demographic and Health Surveys of Namibia and Haiti we defined the capabilities of healthcare facilities in each country in terms of their preparedness to provide emergency services. A Geographic Information System-based network analysis method was used to define 5- 10- and 50-kilometer catchment areas for all facilities capable of providing 24-hour care, higher-level resuscitative services or tertiary care. The proportion of a country’s population with access to each level of service was obtained by amalgamating the catchment areas with a population layer. A significant proportion of the population of both countries had poor spatial access to lower level services with 25% of the population of Haiti and 51% of the population of Namibia living further than 50 kilometers from a facility capable of providing 24-hour care. Spatial access to tertiary care was considerably lower with 51% of Haitians and 72% of Namibians having no access to these higher-level services within 50 kilometers. These results demonstrate a significant disparity in potential spatial access to emergency services in two LMICs compared to analogous estimates from high-income settings, and suggest that strengthening the capabilities of existing facilities may improve the equity of emergency services in these countries. Routine collection of georeferenced patient and facility data in LMICs will be important to understanding how spatial access to services influences outcomes.

Suggested Citation

  • Gavin Tansley & Nadine Schuurman & Ofer Amram & Natalie Yanchar, 2015. "Spatial Access to Emergency Services in Low- and Middle-Income Countries: A GIS-Based Analysis," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-12, November.
  • Handle: RePEc:plo:pone00:0141113
    DOI: 10.1371/journal.pone.0141113
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0141113
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0141113&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0141113?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
    ---><---

    References listed on IDEAS

    as
    1. Catherine Linard & Marius Gilbert & Robert W Snow & Abdisalan M Noor & Andrew J Tatem, 2012. "Population Distribution, Settlement Patterns and Accessibility across Africa in 2010," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-8, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Samuel Manda & Ndamonaonghenda Haushona & Robert Bergquist, 2020. "A Scoping Review of Spatial Analysis Approaches Using Health Survey Data in Sub-Saharan Africa," IJERPH, MDPI, vol. 17(9), pages 1-20, April.
    2. Hiranya Sritart & Kuson Tuntiwong & Hiroyuki Miyazaki & Somchat Taertulakarn, 2021. "Disparities in Healthcare Services and Spatial Assessments of Mobile Health Clinics in the Border Regions of Thailand," IJERPH, MDPI, vol. 18(20), pages 1-24, October.

    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. Gollin, Douglas & Lagakos, David & Kirchberger, Martina, 2017. "In Search of a Spatial Equilibrium in the Developing World," CEPR Discussion Papers 12114, C.E.P.R. Discussion Papers.
    2. Beatrice Asenso Barnieh & Li Jia & Massimo Menenti & Min Jiang & Jie Zhou & Yelong Zeng & Ali Bennour, 2021. "Modeling the Underlying Drivers of Natural Vegetation Occurrence in West Africa with Binary Logistic Regression Method," Sustainability, MDPI, vol. 13(9), pages 1-37, April.
    3. D. Woods & A. Cunningham & C. E. Utazi & M. Bondarenko & L. Shengjie & G. E. Rogers & P. Koper & C. W. Ruktanonchai & E. zu Erbach-Schoenberg & A. J. Tatem & J. Steele & A. Sorichetta, 2022. "Exploring methods for mapping seasonal population changes using mobile phone data," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-17, December.
    4. Alexandros Korkovelos & Babak Khavari & Andreas Sahlberg & Mark Howells & Christopher Arderne, 2019. "The Role of Open Access Data in Geospatial Electrification Planning and the Achievement of SDG7. An OnSSET-Based Case Study for Malawi," Energies, MDPI, vol. 12(7), pages 1-36, April.
    5. Joël Masimo Kabuanga & Onésime Mubenga Kankonda & Mehdi Saqalli & Nicolas Maestripieri & Thomas Mumuni Bilintoh & Jean-Pierre Mate Mweru & Aimé Balimbaki Liama & Radar Nishuli & Landing Mané, 2021. "Historical Changes and Future Trajectories of Deforestation in the Ituri-Epulu-Aru Landscape (Democratic Republic of the Congo)," Land, MDPI, vol. 10(10), pages 1-24, October.
    6. T Alex Perkins & Thomas W Scott & Arnaud Le Menach & David L Smith, 2013. "Heterogeneity, Mixing, and the Spatial Scales of Mosquito-Borne Pathogen Transmission," PLOS Computational Biology, Public Library of Science, vol. 9(12), pages 1-16, December.
    7. Kara G Marson & Kenneth Tapia & Pamela Kohler & Christine J McGrath & Grace C John-Stewart & Barbra A Richardson & Julia W Njoroge & James N Kiarie & Samah R Sakr & Michael H Chung, 2013. "Male, Mobile, and Moneyed: Loss to Follow-Up vs. Transfer of Care in an Urban African Antiretroviral Treatment Clinic," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    8. Carl Müller-Crepon & Yannick Pengl & Nils-Christian Bormann, 2022. "Linking Ethnic Data from Africa (LEDA)," Journal of Peace Research, Peace Research Institute Oslo, vol. 59(3), pages 425-435, May.
    9. Amjath-Babu, T.S. & Krupnik, Timothy J. & Kaechele, Harald & Aravindakshan, Sreejith & Sietz, Diana, 2016. "Transitioning to groundwater irrigated intensified agriculture in Sub-Saharan Africa: An indicator based assessment," Agricultural Water Management, Elsevier, vol. 168(C), pages 125-135.
    10. Siyu Ma & Lin Yang & Mei-Po Kwan & Zejun Zuo & Haoyue Qian & Minghao Li, 2021. "Do Individuals’ Activity Structures Influence Their PM 2 . 5 Exposure Levels? Evidence from Human Trajectory Data in Wuhan City," IJERPH, MDPI, vol. 18(9), pages 1-27, April.
    11. Liu, Weiping & Yang, Chaoxian & Liu, Yong & Wei, Chaofu & Yang, Xinyue, 2018. "Impacts of concentrated rural resettlement policy on rural restructuring in upland areas: A case study of Qiantang Town in Chongqing, China," Land Use Policy, Elsevier, vol. 77(C), pages 732-744.
    12. Jayne, T.S. & Chamberlin, Jordan & Headey, Derek D., 2014. "Land pressures, the evolution of farming systems, and development strategies in Africa: A synthesis," Food Policy, Elsevier, vol. 48(C), pages 1-17.
    13. David Kraybill, 2013. "Rural development in sub-Saharan Africa," Chapters, in: Gary Paul Green (ed.), Handbook of Rural Development, chapter 14, pages i-ii, Edward Elgar Publishing.
    14. Miguel A Campo-Bescós & Rafael Muñoz-Carpena & David A Kaplan & Jane Southworth & Likai Zhu & Peter R Waylen, 2013. "Beyond Precipitation: Physiographic Gradients Dictate the Relative Importance of Environmental Drivers on Savanna Vegetation," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-14, August.
    15. Daniela Palacios-Lopez & Felix Bachofer & Thomas Esch & Wieke Heldens & Andreas Hirner & Mattia Marconcini & Alessandro Sorichetta & Julian Zeidler & Claudia Kuenzer & Stefan Dech & Andrew J. Tatem & , 2019. "New Perspectives for Mapping Global Population Distribution Using World Settlement Footprint Products," Sustainability, MDPI, vol. 11(21), pages 1-24, October.
    16. Amy Wesolowski & Caroline O Buckee & Deepa K Pindolia & Nathan Eagle & David L Smith & Andres J Garcia & Andrew J Tatem, 2013. "The Use of Census Migration Data to Approximate Human Movement Patterns across Temporal Scales," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-8, January.
    17. Francis Oloo & Kamran Safi & Jagannath Aryal, 2018. "Predicting Migratory Corridors of White Storks, Ciconia ciconia , to Enhance Sustainable Wind Energy Planning: A Data-Driven Agent-Based Model," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
    18. Zhonghao Zhang & Rui Xiao & Ashton Shortridge & Jiaping Wu, 2014. "Spatial Point Pattern Analysis of Human Settlements and Geographical Associations in Eastern Coastal China — A Case Study," IJERPH, MDPI, vol. 11(3), pages 1-16, March.
    19. Fatima Lambarraa-Lehnhardt & Rico Ihle & Khadija Mhaouch, 2021. "Geographical indications for supporting rural development in the context of the Green Morocco Plan: Oasis dates," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(2), pages 70-79.
    20. Gabra, Samuel & Miles, John & Scott, Stuart A., 2019. "Techno-economic analysis of stand-alone wind micro-grids, compared with PV and diesel in Africa," Renewable Energy, Elsevier, vol. 143(C), pages 1928-1938.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0141113. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.