Comment on “A Conceptual Framework for Quality Healthcare Accessibility: a Scalable Approach for Big Data Technologies”
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DOI: 10.1007/s10796-018-9829-8
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- Miloslava Plachkinova & Au Vo & Rahul Bhaskar & Brian Hilton, 2018. "A conceptual framework for quality healthcare accessibility: a scalable approach for big data technologies," Information Systems Frontiers, Springer, vol. 20(2), pages 289-302, April.
- Miloslava Plachkinova & Au Vo & Rahul Bhaskar & Brian Hilton, 0. "A conceptual framework for quality healthcare accessibility: a scalable approach for big data technologies," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
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- Paul L Delamater & Joseph P Messina & Sue C Grady & Vince WinklerPrins & Ashton M Shortridge, 2013. "Do More Hospital Beds Lead to Higher Hospitalization Rates? A Spatial Examination of Roemer’s Law," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-16, February.
- Langford, M. & Higgs, G. & Fry, R., 2012. "Using floating catchment analysis (FCA) techniques to examine intra-urban variations in accessibility to public transport opportunities: the example of Cardiff, Wales," Journal of Transport Geography, Elsevier, vol. 25(C), pages 1-14.
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- Yoonchae Yoon & Jina Park, 2022. "Equitable City in an Aging Society: Public Transportation-Based Primary Care Accessibility in Seoul, Korea," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
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Keywords
Geographic information systems; Health care analytics; Health care accessibility; Gravity models;All these keywords.
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