Please use this identifier to cite or link to this item:
https://cris.library.msu.ac.zw//handle/11408/5891
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jia Wang | en_US |
dc.contributor.author | Itohan Osayande | en_US |
dc.contributor.author | Peter M. Macharia | en_US |
dc.contributor.author | Prestige Tatenda Makanga | en_US |
dc.contributor.author | Kerry L. M. Wong | en_US |
dc.contributor.author | Tope Olubodun | en_US |
dc.contributor.author | Uchenna Gwacham-Anisiobi | en_US |
dc.contributor.author | Olakunmi Ogunyemi | en_US |
dc.contributor.author | Abimbola Olaniran | en_US |
dc.contributor.author | Ibukun-Oluwa O. Abejirinde | en_US |
dc.contributor.author | Lenka Beňová | en_US |
dc.date.accessioned | 2023-10-27T12:47:21Z | - |
dc.date.available | 2023-10-27T12:47:21Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://cris.library.msu.ac.zw//handle/11408/5891 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Dagstuhl Publishing | en_US |
dc.relation.ispartof | Leibniz International Proceedings in Informatics, LIPIcs | en_US |
dc.subject | GIS | en_US |
dc.subject | Public Health | en_US |
dc.subject | Accessibility | en_US |
dc.subject | OnTIME | en_US |
dc.subject | EmOC | en_US |
dc.subject | Public Participation GIS | en_US |
dc.subject | Big Data | en_US |
dc.subject | en_US | |
dc.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 | en_US |
dc.type | conference paper | en_US |
dc.identifier.doi | https://doi.org/10.4230/LIPIcs.GIScience.2023.79 | - |
dc.contributor.affiliation | School of Computing & Mathematical Sciences, University of Greenwich, London, UK | en_US |
dc.contributor.affiliation | School of Human Sciences, University of Greenwich, London, UK | en_US |
dc.contributor.affiliation | 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 | en_US |
dc.contributor.affiliation | 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 | en_US |
dc.contributor.affiliation | Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, UK | en_US |
dc.contributor.affiliation | Department of Community Medicine and Primary Care, Federal Medical Centre Abeokuta, Abeokuta, Ogun, Nigeria | en_US |
dc.contributor.affiliation | Nuffield Department of Population Health, University of Oxford, UK | en_US |
dc.contributor.affiliation | Lagos State Ministry of Health, Nigeria | en_US |
dc.contributor.affiliation | Royal Tropical Institute, Amsterdam, The Netherlands | en_US |
dc.contributor.affiliation | Dalla Lana School of Public Health, University of Toronto, Canada; Women’s College Hospital Institute for Health System Solutions and Virtual Care, Toronto, Canada | en_US |
dc.contributor.affiliation | Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium | en_US |
dc.relation.issn | 18688969 | en_US |
dc.description.startpage | 79.1 | en_US |
dc.description.endpage | 79.6 | en_US |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.openairetype | conference paper | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Application of GIS in Public Health Practice.pdf | Abstract | 91.37 kB | Adobe PDF | View/Open |
Page view(s)
78
checked on Nov 22, 2024
Download(s)
20
checked on Nov 22, 2024
Google ScholarTM
Check
Altmetric
Items in MSUIR are protected by copyright, with all rights reserved, unless otherwise indicated.