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Application of GIS in public health practice: a consortium’s approach to tackling travel delays in obstetric emergencies in urban areas

Application of GIS in public health practice: a consortium’s approach to tackling travel delays in obstetric emergencies in urban areas

Wang, Jia ORCID: 0000-0003-4379-9724 , Osayande, Itohan, Macharia, Peter M, Makanga, Prestige Tatenda, Wong, Kerry L. M, Olubodun, Tope, Gwacham-Anisiobi, Uchenna, Ogunyemi, Olakunmi, Olaniran, Abimbola, Abejirinde, Ibukun-Oluwa O., Benova, Lenka, Afolabi, Bosede B. and Banke-Thomas, Aduragbemi ORCID: 0000-0002-4449-0131 (2023) Application of GIS in public health practice: a consortium’s approach to tackling travel delays in obstetric emergencies in urban areas. In: 12th International Conference on Geographic Information Science (GIScience 2023): 12th - 15th September, 2023. Leeds, UK. Leibniz International Proceedings in Informatics (LIPIcs), 277 (79). Schloss Dagstuhl -- Leibniz-Zentrum for Informatik, Dagstuhl, Germany, 79:1-79:6. ISBN 978-3959772884 ISSN 1868-8969 (doi:https://doi.org/10.4230/LIPIcs.GIScience.2023.79)

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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.

Item Type: Conference Proceedings
Title of Proceedings: 12th International Conference on Geographic Information Science (GIScience 2023): 12th - 15th September, 2023. Leeds, UK
Uncontrolled Keywords: GIS; public health; accessibility; OnTIME; EmOC; public participation; GIS; big data; Google
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
R Medicine > RG Gynecology and obstetrics
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Related URLs:
Last Modified: 07 Feb 2024 10:12
URI: http://gala.gre.ac.uk/id/eprint/44059

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