Application of GIS in Public Health Practice: A Consortium’s Approach to Tackling Travel Delays in Obstetric Emergencies in Urban Areas (Short Paper)

Wang, Jia; 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.; Beňová, Lenka; Afolabi, Bosede B.; Banke-Thomas, Aduragbemi

doi:10.4230/LIPIcs.GIScience.2023.79

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DOI: 10.4230/LIPIcs.GIScience.2023.79
URN: urn:nbn:de:0030-drops-189748

Author Details

Jia Wang

School of Computing & Mathematical Sciences, University of Greenwich, London, UK

Itohan Osayande

School of Human Sciences, University of Greenwich, London, UK

Peter M. Macharia

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

Prestige Tatenda Makanga

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

Kerry L. M. Wong

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, UK

Tope Olubodun

Department of Community Medicine and, Primary Care, Federal Medical Centre , Abeokuta, Abeokuta, Ogun, Nigeria

Uchenna Gwacham-Anisiobi

Nuffield Department of Population Health, University of Oxford, UK

Olakunmi Ogunyemi

Lagos State Ministry of Health, Nigeria

Abimbola Olaniran

Royal Tropical Institute, Amsterdam, The Netherlands

Ibukun-Oluwa O. Abejirinde

Dalla Lana School of Public Health, University of Toronto, Canada
Women’s College Hospital Institute for, Health System Solutions and Virtual Care, Toronto, Canada

Lenka Beňová

Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium

Bosede B. Afolabi

Department of Obstetrics and Gynaecology, College of Medicine, University of Lagos, Nigeria
Maternal and Reproductive Health Research , Collective, Lagos, Nigeria

Aduragbemi Banke-Thomas

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, UK
Maternal and Reproductive Health Research, Collective, Lagos, Nigeria
School of Human Sciences, University of Greenwich, London, UK

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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, Bosede B. Afolabi, and Aduragbemi Banke-Thomas. Application of GIS in Public Health Practice: A Consortium’s Approach to Tackling Travel Delays in Obstetric Emergencies in Urban Areas (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 79:1-79:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.GIScience.2023.79

@InProceedings{wang_et_al:LIPIcs.GIScience.2023.79,
  author =	{Wang, Jia and Osayande, Itohan and Macharia, Peter M. and Makanga, Prestige Tatenda and Wong, Kerry L. M. and Olubodun, Tope and Gwacham-Anisiobi, Uchenna and Ogunyemi, Olakunmi and Olaniran, Abimbola and Abejirinde, Ibukun-Oluwa O. and Be\v{n}ov\'{a}, Lenka and Afolabi, Bosede B. and Banke-Thomas, Aduragbemi},
  title =	{{Application of GIS in Public Health Practice: A Consortium’s Approach to Tackling Travel Delays in Obstetric Emergencies in Urban Areas}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{79:1--79:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.79},
  URN =		{urn:nbn:de:0030-drops-189748},
  doi =		{10.4230/LIPIcs.GIScience.2023.79},
  annote =	{Keywords: GIS, Public Health, Accessibility, OnTIME, EmOC, Public Participation GIS, Big Data, Google}
}

@InProceedings{wang_et_al:LIPIcs.GIScience.2023.79,
  author =	{Wang, Jia and Osayande, Itohan and Macharia, Peter M. and Makanga, Prestige Tatenda and Wong, Kerry L. M. and Olubodun, Tope and Gwacham-Anisiobi, Uchenna and Ogunyemi, Olakunmi and Olaniran, Abimbola and Abejirinde, Ibukun-Oluwa O. and Be\v{n}ov\'{a}, Lenka and Afolabi, Bosede B. and Banke-Thomas, Aduragbemi},
  title =	{{Application of GIS in Public Health Practice: A Consortium’s Approach to Tackling Travel Delays in Obstetric Emergencies in Urban Areas}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{79:1--79:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.79},
  URN =		{urn:nbn:de:0030-drops-189748},
  doi =		{10.4230/LIPIcs.GIScience.2023.79},
  annote =	{Keywords: GIS, Public Health, Accessibility, OnTIME, EmOC, Public Participation GIS, Big Data, Google}
}

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.

Subject Classification

ACM Subject Classification

Information systems → Geographic information systems

Keywords

GIS
Public Health
Accessibility
OnTIME
EmOC
Public Participation GIS
Big Data
Google

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References

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