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Title: Application of GIS in public health practice: a consortium’s approach to tackling travel delays in obstetric emergencies in urban areas: 12th International Conference on Geographic Information Science (GIScience 2023): 12th - 15th September, 2023. Leeds, UK
Authors: Jia Wang
Itohan Osayande
Peter M. Macharia
Prestige Tatenda Makanga
Kerry L. M. Wong
Tope Olubodun
Uchenna Gwacham-Anisiobi
Olakunmi Ogunyemi
Abimbola Olaniran
Ibukun-Oluwa O. Abejirinde
Lenka Beňová
School of Computing & Mathematical Sciences, University of Greenwich, London, UK
School of Human Sciences, University of Greenwich, London, UK
Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium; Population & Health Impact Surveillance Group, Kenya; Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya; Centre for Health Informatics, Computing, and Statistics, Lancaster Medical School, Lancaster University, UK
Surveying and Geomatics Department, Faculty of Science and Technology, Midlands State University, Gweru, Zimbabwe; Climate and Health Division, Centre for Sexual Health and HIV/AIDS Research, Zimbabwe
Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, UK
Department of Community Medicine and Primary Care, Federal Medical Centre Abeokuta, Abeokuta, Ogun, Nigeria
Nuffield Department of Population Health, University of Oxford, UK
Lagos State Ministry of Health, Nigeria
Royal Tropical Institute, Amsterdam, The Netherlands
Dalla Lana School of Public Health, University of Toronto, Canada; Women’s College Hospital Institute for Health System Solutions and Virtual Care, Toronto, Canada
Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium
Keywords: GIS
Public Health
Public Participation GIS
Big Data
Issue Date: 2023
Publisher: Dagstuhl Publishing
Abstract: Geographic Information System (GIS) has become an effective and reliable tool for researchers, policymakers, and decision-makers to map health outcomes and inform targeted planning, evaluation, and monitoring. With the advent of big data-enabled GIS, researchers can now identify disparities and spatial inequalities in health at more granular levels, enabling them to provide more accurate and robust services and products for healthcare. This paper aims to showcase the progress of the On Tackling In-transit Delays for Mothers in Emergency (OnTIME) project, which is a unique collaborative effort between academia, policymakers, and industrial partners. The paper demonstrates how the limitations of traditional spatial accessibility models and data gaps have been overcome by combining GIS and big data to map the geographic accessibility and coverage of health facilities capable of providing emergency obstetric care (EmOC) in conurbations in Africa. The OnTIME project employs various GIS technologies and concepts, such as big spatial data, spatial databases, and public participation geographic information systems (PPGIS). We provide an overview of these concepts in relation to the OnTIME project to demonstrate the application of GIS in public health practice.
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